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python developer lead drive agile adoption
Senior IT Systems Engineer - Cloud, IAM & AI Tools
Jobtailor
• Own and evolve our cloud infrastructure on GCP - from identity architecture and access controls to cost optimisation and scalability planning • Lead SaaS lifecycle management across 300+ applications: discovery, governance, license optimisation, and vendor accountability using tools like Torii • Design and maintain our IAM ecosystem (Okta, Google Workspace, Jamf) including SSO/MFA enforcement, provisioning workflows, and identity lifecycle automation • Build and enforce endpoint management policies across a 99% Apple fleet via Jamf and MDM, ensuring security baselines and a great employee experience • Create dashboards and reporting frameworks that give leadership real visibility into our SaaS spend, cloud posture, and asset health • Write production-quality code daily - Python scripts, API integrations, iPaaS (integration Platform as a platform) workflows (Workato or similar), and lightweight internal tools that solve real problems for our team • Build and maintain integration pipelines that connect our SaaS ecosystem: identity provisioning, automated onboarding/offboarding, license reconciliation, and event-driven workflows • Develop internal tooling and dashboards (Google Apps Script, Python, HTML/CSS/JS) that surface actionable data - from AI usage analytics to hardware fleet health and budget forecasting • Shape and execute our internal AI tools strategy - managing adoption, governance, and usage analytics for platforms like Claude, ChatGPT Enterprise, GitHub Copilot, and Cursor • Evaluate and pilot emerging AI capabilities for IT operations - from AI-assisted troubleshooting to predictive SaaS usage and automated compliance evidence collection • Treat Infrastructure as Code as a default: version-controlled configurations, reproducible environments, and CI/CD pipelines for IT automation deployments • Design automation solutions that are clean, maintainable, and built to last - not just clever scripts, but well-documented, testable, production-grade systems • Lead and mentor a team of 5-6 IT engineers - hiring, coaching, mentoring, and creating real career development paths • Elevate your team's engineering skills through hands-on mentoring: pair programming, code reviews, architecture discussions, and setting quality standards that raise everyone's game • Build a collaborative engineering culture where the team ships robust IT solutions that internal customers genuinely value • Help IT engineers grow from script-writers into systems thinkers - teaching them to build modular, testable, well-documented automation they're proud of • Champion open communication and a strong feedback culture - great teams are built on psychological safety, trust, and transparency • Collaborate across the Platform group to align your team with company objectives and ambitious IT maturity goals • Build roadmaps that balance long-term strategic vision (governance frameworks, scalable architectures) with tactical quick wins that deliver immediate value • Partner with Security and Legal to maintain SOC 2 compliance - owning IT controls, evidence collection, and audit readiness • Ensure GDPR and data protection requirements are embedded into every system and workflow your team touches • Lead initiatives that enforce best-in-class governance practices: access reviews, vendor risk assessments, and shadow IT remediation • Embrace an agile "build it and run it" mindset where your team owns what they build, from launch through ongoing security and support • Create a learning environment where experimentation is encouraged and delivery proficiency keeps improving • Lead initiatives that crush manual work, boost efficiency, and raise the bar on governance practices • Be the champion for engineering best practices within the IT function and across the organisation Requirements 8k+ years in IT engineering, platform engineering, or infrastructure roles - with at least 2 years leading or mentoring a technical team Strong, demonstrable coding ability in Python - not just scripting, but building well-structured, testable automation with proper error handling, logging, and documentation Hands-on experience building API integrations and working with RESTful services, OAuth flows, webhooks, and API-first SaaS platforms Proficiency with at least one iPaaS / workflow automation platform (Workato, Tray.io, n8n, or similar) for building enterprise integration pipelines Experience building internal tools and dashboards - whether that's Google Apps Script, lightweight web apps (HTML/CSS/JS), or data visualisation frameworks Deep hands-on experience with our core stack: Okta (or comparable IdP), Google Workspace, Jamf, and GCP Familiarity with Infrastructure as Code principles and tools (Terraform, Pulumi, or similar) Version control fluency - Git workflows, branching strategies, and CI/CD pipelines are second nature to you A genuine passion for AI-assisted workflows and experience adopting or governing AI developer tools (Copilot, Claude, Cursor, or similar) The ability to balance team management with hands-on technical work - you lead by example and stay close to the code Experience mentoring engineers: you enjoy pair programming, giving thoughtful code reviews, and helping people level up their craft Experience navigating compliance frameworks (SOC 2, GDPR, ISO 27001) from the IT operations side A problem-solving mindset that navigates ambiguity with data, curiosity, and a user-first approach - yes, internal stakeholders are users too A bias for action: experiment, test new approaches, learn from data, and iterate quickly to deliver value Clear, effective communication in English (written and verbal) Openness to giving and receiving feedback in a safe, supportive environment ATS Optimization Keywords Below are skills and terms extracted directly from this job posting to improve Applicant Tracking System (ATS) visibility. This unique feature helps candidates tailor their applications more effectively - a feature exclusive to JobTailor job listings. Hard Skills Python API integrations RESTful services OAuth iPaaS Google Apps Script HTML CSS JavaScript Infrastructure as Code Soft Skills team management mentoring problem-solving communication collaboration feedback culture agile mindset curiosity user-first approach leadership
19/07/2026
Full time
• Own and evolve our cloud infrastructure on GCP - from identity architecture and access controls to cost optimisation and scalability planning • Lead SaaS lifecycle management across 300+ applications: discovery, governance, license optimisation, and vendor accountability using tools like Torii • Design and maintain our IAM ecosystem (Okta, Google Workspace, Jamf) including SSO/MFA enforcement, provisioning workflows, and identity lifecycle automation • Build and enforce endpoint management policies across a 99% Apple fleet via Jamf and MDM, ensuring security baselines and a great employee experience • Create dashboards and reporting frameworks that give leadership real visibility into our SaaS spend, cloud posture, and asset health • Write production-quality code daily - Python scripts, API integrations, iPaaS (integration Platform as a platform) workflows (Workato or similar), and lightweight internal tools that solve real problems for our team • Build and maintain integration pipelines that connect our SaaS ecosystem: identity provisioning, automated onboarding/offboarding, license reconciliation, and event-driven workflows • Develop internal tooling and dashboards (Google Apps Script, Python, HTML/CSS/JS) that surface actionable data - from AI usage analytics to hardware fleet health and budget forecasting • Shape and execute our internal AI tools strategy - managing adoption, governance, and usage analytics for platforms like Claude, ChatGPT Enterprise, GitHub Copilot, and Cursor • Evaluate and pilot emerging AI capabilities for IT operations - from AI-assisted troubleshooting to predictive SaaS usage and automated compliance evidence collection • Treat Infrastructure as Code as a default: version-controlled configurations, reproducible environments, and CI/CD pipelines for IT automation deployments • Design automation solutions that are clean, maintainable, and built to last - not just clever scripts, but well-documented, testable, production-grade systems • Lead and mentor a team of 5-6 IT engineers - hiring, coaching, mentoring, and creating real career development paths • Elevate your team's engineering skills through hands-on mentoring: pair programming, code reviews, architecture discussions, and setting quality standards that raise everyone's game • Build a collaborative engineering culture where the team ships robust IT solutions that internal customers genuinely value • Help IT engineers grow from script-writers into systems thinkers - teaching them to build modular, testable, well-documented automation they're proud of • Champion open communication and a strong feedback culture - great teams are built on psychological safety, trust, and transparency • Collaborate across the Platform group to align your team with company objectives and ambitious IT maturity goals • Build roadmaps that balance long-term strategic vision (governance frameworks, scalable architectures) with tactical quick wins that deliver immediate value • Partner with Security and Legal to maintain SOC 2 compliance - owning IT controls, evidence collection, and audit readiness • Ensure GDPR and data protection requirements are embedded into every system and workflow your team touches • Lead initiatives that enforce best-in-class governance practices: access reviews, vendor risk assessments, and shadow IT remediation • Embrace an agile "build it and run it" mindset where your team owns what they build, from launch through ongoing security and support • Create a learning environment where experimentation is encouraged and delivery proficiency keeps improving • Lead initiatives that crush manual work, boost efficiency, and raise the bar on governance practices • Be the champion for engineering best practices within the IT function and across the organisation Requirements 8k+ years in IT engineering, platform engineering, or infrastructure roles - with at least 2 years leading or mentoring a technical team Strong, demonstrable coding ability in Python - not just scripting, but building well-structured, testable automation with proper error handling, logging, and documentation Hands-on experience building API integrations and working with RESTful services, OAuth flows, webhooks, and API-first SaaS platforms Proficiency with at least one iPaaS / workflow automation platform (Workato, Tray.io, n8n, or similar) for building enterprise integration pipelines Experience building internal tools and dashboards - whether that's Google Apps Script, lightweight web apps (HTML/CSS/JS), or data visualisation frameworks Deep hands-on experience with our core stack: Okta (or comparable IdP), Google Workspace, Jamf, and GCP Familiarity with Infrastructure as Code principles and tools (Terraform, Pulumi, or similar) Version control fluency - Git workflows, branching strategies, and CI/CD pipelines are second nature to you A genuine passion for AI-assisted workflows and experience adopting or governing AI developer tools (Copilot, Claude, Cursor, or similar) The ability to balance team management with hands-on technical work - you lead by example and stay close to the code Experience mentoring engineers: you enjoy pair programming, giving thoughtful code reviews, and helping people level up their craft Experience navigating compliance frameworks (SOC 2, GDPR, ISO 27001) from the IT operations side A problem-solving mindset that navigates ambiguity with data, curiosity, and a user-first approach - yes, internal stakeholders are users too A bias for action: experiment, test new approaches, learn from data, and iterate quickly to deliver value Clear, effective communication in English (written and verbal) Openness to giving and receiving feedback in a safe, supportive environment ATS Optimization Keywords Below are skills and terms extracted directly from this job posting to improve Applicant Tracking System (ATS) visibility. This unique feature helps candidates tailor their applications more effectively - a feature exclusive to JobTailor job listings. Hard Skills Python API integrations RESTful services OAuth iPaaS Google Apps Script HTML CSS JavaScript Infrastructure as Code Soft Skills team management mentoring problem-solving communication collaboration feedback culture agile mindset curiosity user-first approach leadership
Senior IT System Engineer
Jobtailor
Responsibilities Own and evolve our cloud infrastructure on GCP - from identity architecture and access controls to cost optimisation and scalability planning Lead SaaS lifecycle management across 300+ applications: discovery, governance, license optimisation, and vendor accountability using tools like Torii Design and maintain our IAM ecosystem (Okta, Google Workspace, Jamf) including SSO/MFA enforcement, provisioning workflows, and identity lifecycle automation Build and enforce endpoint management policies across a 99% Apple fleet via Jamf and MDM, ensuring security baselines and a great employee experience Create dashboards and reporting frameworks that give leadership real visibility into our SaaS spend, cloud posture, and asset health Write production-quality code daily - Python scripts, API integrations, iPaaS (integration Platform as a Service) workflows (Workato or similar), and lightweight internal tools that solve real problems for our team Build and maintain integration pipelines that connect our SaaS ecosystem: identity provisioning, automated onboarding/offboarding, license reconciliation, and event-driven workflows Develop internal tooling and dashboards (Google Apps Script, Python, HTML/CSS/JS) that surface actionable data - from AI usage analytics to hardware fleet health and budget forecasting Shape and execute our internal AI tools strategy - managing adoption, governance, and usage analytics for platforms like Claude, ChatGPT Enterprise, GitHub Copilot, and Cursor Evaluate and pilot emerging AI capabilities for IT operations - from AI-assisted troubleshooting to predictive SaaS usage and automated compliance evidence collection Treat Infrastructure as Code as a default: version-controlled configurations, reproducible environments, and CI/CD pipelines for IT automation deployments Design automation solutions that are clean, maintainable, and built to last - not just clever scripts, but well-documented, testable, production-grade systems Lead and mentor a team of 5-6 IT engineers - hiring, coaching, mentoring, and creating real career development paths Elevate your team's engineering skills through hands-on mentoring: pair programming, code reviews, architecture discussions, and setting quality standards that raise everyone's game Build a collaborative engineering culture where the team ships robust IT solutions that internal customers genuinely value Help IT engineers grow from script-writers into systems thinkers - teaching them to build modular, testable, well-documented automation they're proud of Champion open communication and a strong feedback culture - great teams are built on psychological safety, trust, and transparency Collaborate across the Platform group to align your team with company objectives and ambitious IT maturity goals Build roadmaps that balance long-term strategic vision (governance frameworks, scalable architectures) with tactical quick wins that deliver immediate value Partner with Security and Legal to maintain SOC 2 compliance - owning IT controls, evidence collection, and audit readiness Ensure GDPR and data protection requirements are embedded into every system and workflow your team touches Lead initiatives that enforce best-in-class governance practices: access reviews, vendor risk assessments, and shadow IT remediation Embrace an agile "build it and run it" mindset where your team owns what they build, from launch through ongoing security and support Create a learning environment where experimentation is encouraged and delivery proficiency keeps improving Lead initiatives that crush manual work, boost efficiency, and raise the bar on governance practices Be the champion for engineering best practices within the IT function and across the organisation Qualifications 8k+ years in IT engineering, platform engineering, or infrastructure roles - with at least 2 years leading or mentoring a technical team Strong, demonstrable coding ability in Python - not just scripting, but building well-structured, testable automation with proper error handling, logging, and documentation Hands-on experience building API integrations and working with RESTful services, OAuth flows, webhooks, and API-first SaaS platforms Proficiency with at least one iPaaS / workflow automation platform (Workato, Tray.io, n8n, or similar) for building enterprise integration pipelines Experience building internal tools and dashboards - whether that's Google Apps Script, lightweight web apps (HTML/CSS/JS), or data visualisation frameworks Deep hands-on experience with our core stack: Okta (or comparable IdP), Google Workspace, Jamf, and GCP Familiarity with Infrastructure as Code principles and tools (Terraform, Pulumi, or similar) Version control fluency - Git workflows, branching strategies, and CI/CD pipelines are second nature to you A genuine passion for AI-assisted workflows and experience adopting or governing AI developer tools (Copilot, Claude, Cursor, or similar) The ability to balance team management with hands-on technical work - you lead by example and stay close to the code Experience mentoring engineers: you enjoy pair programming, giving thoughtful code reviews, and helping people level up their craft Experience navigating compliance frameworks (SOC 2, GDPR, ISO 27001) from the IT operations side A problem-solving mindset that navigates ambiguity with data, curiosity, and a user-first approach - yes, internal stakeholders are users too A bias for action: experiment, test new approaches, learn from data, and iterate quickly to deliver value Clear, effective communication in English (written and verbal) Openness to giving and receiving feedback in a safe, supportive environment
19/07/2026
Full time
Responsibilities Own and evolve our cloud infrastructure on GCP - from identity architecture and access controls to cost optimisation and scalability planning Lead SaaS lifecycle management across 300+ applications: discovery, governance, license optimisation, and vendor accountability using tools like Torii Design and maintain our IAM ecosystem (Okta, Google Workspace, Jamf) including SSO/MFA enforcement, provisioning workflows, and identity lifecycle automation Build and enforce endpoint management policies across a 99% Apple fleet via Jamf and MDM, ensuring security baselines and a great employee experience Create dashboards and reporting frameworks that give leadership real visibility into our SaaS spend, cloud posture, and asset health Write production-quality code daily - Python scripts, API integrations, iPaaS (integration Platform as a Service) workflows (Workato or similar), and lightweight internal tools that solve real problems for our team Build and maintain integration pipelines that connect our SaaS ecosystem: identity provisioning, automated onboarding/offboarding, license reconciliation, and event-driven workflows Develop internal tooling and dashboards (Google Apps Script, Python, HTML/CSS/JS) that surface actionable data - from AI usage analytics to hardware fleet health and budget forecasting Shape and execute our internal AI tools strategy - managing adoption, governance, and usage analytics for platforms like Claude, ChatGPT Enterprise, GitHub Copilot, and Cursor Evaluate and pilot emerging AI capabilities for IT operations - from AI-assisted troubleshooting to predictive SaaS usage and automated compliance evidence collection Treat Infrastructure as Code as a default: version-controlled configurations, reproducible environments, and CI/CD pipelines for IT automation deployments Design automation solutions that are clean, maintainable, and built to last - not just clever scripts, but well-documented, testable, production-grade systems Lead and mentor a team of 5-6 IT engineers - hiring, coaching, mentoring, and creating real career development paths Elevate your team's engineering skills through hands-on mentoring: pair programming, code reviews, architecture discussions, and setting quality standards that raise everyone's game Build a collaborative engineering culture where the team ships robust IT solutions that internal customers genuinely value Help IT engineers grow from script-writers into systems thinkers - teaching them to build modular, testable, well-documented automation they're proud of Champion open communication and a strong feedback culture - great teams are built on psychological safety, trust, and transparency Collaborate across the Platform group to align your team with company objectives and ambitious IT maturity goals Build roadmaps that balance long-term strategic vision (governance frameworks, scalable architectures) with tactical quick wins that deliver immediate value Partner with Security and Legal to maintain SOC 2 compliance - owning IT controls, evidence collection, and audit readiness Ensure GDPR and data protection requirements are embedded into every system and workflow your team touches Lead initiatives that enforce best-in-class governance practices: access reviews, vendor risk assessments, and shadow IT remediation Embrace an agile "build it and run it" mindset where your team owns what they build, from launch through ongoing security and support Create a learning environment where experimentation is encouraged and delivery proficiency keeps improving Lead initiatives that crush manual work, boost efficiency, and raise the bar on governance practices Be the champion for engineering best practices within the IT function and across the organisation Qualifications 8k+ years in IT engineering, platform engineering, or infrastructure roles - with at least 2 years leading or mentoring a technical team Strong, demonstrable coding ability in Python - not just scripting, but building well-structured, testable automation with proper error handling, logging, and documentation Hands-on experience building API integrations and working with RESTful services, OAuth flows, webhooks, and API-first SaaS platforms Proficiency with at least one iPaaS / workflow automation platform (Workato, Tray.io, n8n, or similar) for building enterprise integration pipelines Experience building internal tools and dashboards - whether that's Google Apps Script, lightweight web apps (HTML/CSS/JS), or data visualisation frameworks Deep hands-on experience with our core stack: Okta (or comparable IdP), Google Workspace, Jamf, and GCP Familiarity with Infrastructure as Code principles and tools (Terraform, Pulumi, or similar) Version control fluency - Git workflows, branching strategies, and CI/CD pipelines are second nature to you A genuine passion for AI-assisted workflows and experience adopting or governing AI developer tools (Copilot, Claude, Cursor, or similar) The ability to balance team management with hands-on technical work - you lead by example and stay close to the code Experience mentoring engineers: you enjoy pair programming, giving thoughtful code reviews, and helping people level up their craft Experience navigating compliance frameworks (SOC 2, GDPR, ISO 27001) from the IT operations side A problem-solving mindset that navigates ambiguity with data, curiosity, and a user-first approach - yes, internal stakeholders are users too A bias for action: experiment, test new approaches, learn from data, and iterate quickly to deliver value Clear, effective communication in English (written and verbal) Openness to giving and receiving feedback in a safe, supportive environment
MI5
Software Engineer
MI5
Salary: London: £66,332 - £70,791. Manchester: £64,005 - 68,185 (depending on skills and experience) with an opportunity to qualify for additional allowances and a skills-related payment under the Government Digital and Data Profession Capability Framework (GDDPCF) - formerly known as DDaT. London roles - 36 hours per week, Manchester roles - 37 hours per week. Flexible working: we support full-time, part-time, compressed hours and other flexible working patterns. This is primarily an office-based role, and therefore, opportunities for home or remote working will be limited and dependent on business needs. About us MI5 keeps the country safe from serious threats like terrorism and attempts by states to harm the UK, its people and way of life. We carry out investigations by obtaining, analysing, and assessing intelligence, and then work with a range of partners including MI6 and GCHQ to disrupt these threats. Through our protective security arm, we provide advice and guidance to government, businesses and other organisations about how to keep themselves safe. A role in MI5 means you'll do unique and challenging work in a supportive and encouraging environment, making a real difference to UK national security. The role Technology sits at the heart of everything we do at MI5. We're looking for Software Engineers with multiple years of experience who are prepared to take on a more senior role within a multi-disciplinary product team. You'll develop solutions, mentor less experienced colleagues whilst working alongside a range of technical specialists including Product Owners, Business Analysts, Delivery Managers, Data Scientists and Machine Learning Engineers, to build and run secure applications and products. You'll be using agile methodologies to deliver products that are core to MI5's operations, and you'll be using cloud technologies such as AWS and Azure as well, supporting on-premises platforms and long-established technologies and frameworks. You'll share our collective responsibility to keep the country safe and be keen to constantly improve yourself and your team, taking on ownership of large problems, breaking them down and working with the team to deliver new features throughout the engineering lifecycle. You'll support the products owned by the team, working with users to identify and fix defects (providing on-call support if necessary) developing automated tests to maintain the assurance of our products and deploy through continuous integration pipelines. You'll support and mentor less experienced colleagues and help them to understand what great engineering looks like, promoting best practises, participating in our engineering community and guilds, and encourage cross-organisation initiatives to help build our community of engineers. Many of our engineers work directly within our mission teams and all engineers have a unique opportunity to see first hand how their work contributes to UK national security, while remaining part of a supportive and inclusive technical profession. Our tech stacks vary between products (such as Java, Python, C#, React.js, Oracle, Mongo, Elastic Search and Hadoop to name a few). We embrace DevSecOps mindset, and our teams automate, run and support what we build. You'll be working under the Government Digital and Data Profession Capability Framework (formerly known as DDaT), which recognises and rewards specialist expertise. Due to the nature of our work, most of the teams only work from the office. There are limited opportunities to work in a hybrid way. This is not guaranteed and dependent on the business need. Whether it's building a platform to enable the analysis of data systems to track the progress of our investigations, developing robust and scalable capabilities for our Data Science teams, compliance services to ensure we are operating legally or tooling to improve our developer experience, the nature of our work presents unique and fascinating engineering challenges. About you We value your solid communication skills, as you communicate effectively with technical and non-technical colleagues. You'll demonstrate competency in leadership and you're continuously looking for opportunities to develop and learn new engineering practices and approaches. Training and development We're committed to developing you and recognise this will look different for everyone. We'll use the Government Digital and Data Profession Capability Framework (formerly known as DDaT) as a compass to provide guidance and tools to support you. You can find out more about the framework here: Government Digital and Data Profession Capability Framework. There'll be opportunities to gain qualifications and pursue specialist pathways, as well as undertaking tailored training, coaching and mentoring. You will also have up to 20% innovation and personal development time. As you develop, grow, and maintain your technical skills, you will have the opportunity to progress through GDDPCF pay points. You'll need to regularly demonstrate and accredit your skills based on the framework. If you don't maintain the required skills, you'll be given the opportunity and support to rectify this, as you could revert to a lower level of capability and pay. Rewards and benefits You'll receive a starting salary of between London: £66,332 - £70,791. Manchester: £64,005 - 68,185 (depending on skills and experience) plus other benefits including: 25 Days Annual Leave automatically rising to 30 days after 5 years' service, and an additional 10.5 days public and privilege holidays opportunities to be recognised through our employee performance scheme dedicated development budget interest free season ticket loan cycle to work scheme facilities such as a gym, restaurant and on site coffee bars (at some locations) paid parental and adoption leave. Equal opportunities At MI5 diversity and inclusion are critical to our mission. To protect the UK, we need a truly diverse workforce that reflects the society we serve. This includes diversity in every sense of the word: those with different backgrounds, ages, ethnicities, gender identities, sexual orientations, ways of thinking and those with disabilities or neurodivergent conditions. We therefore welcome and encourage applications from everyone, including those from groups that are under represented in our workforce such as women, those from an ethnic minority background, people with disabilities and those from low socio economic backgrounds. MI5 is proud to have achieved Leader status within the Department for Work and Pensions' Disability Confident scheme. This initiative encourages employers to think differently about disability and take action to improve how they recruit, retain and develop disabled people. As a Disability Confident Organisation, we aim to ensure that a fair and proportionate number of disabled applicants who best meet the essential criteria for this position will be offered an interview, where it is practical for us to do so. (This is known as the Offer of an interview.) To secure an interview for this role, you must meet the minimum criteria, all of which are assessed at the application sift. These criteria (in order of application process) are: Demonstrate ability in developing software in at least one common language (assessed at application form sift) Demonstrate an understanding of the principles of modern standards approaches such as continuous integration and delivery, test driven development and cloud services (assessed at application form sift) Demonstrate taking on a more senior role within a team. Provide technical direction and the ability to guide and support others with regards to software developing (assessed at application form sift) There is a wide range of extra support available throughout the recruitment process to enable you to do your best, see our website for information on reasonable adjustments we can offer. What to expect You'll be invited to upload your CV and complete an online application form. If you pass, you'll be invited to an interview where you will be asked questions relating to your motivation and our core competencies. If you pass, you'll be invited to a technical skill based interview based on the Government Digital and Data Profession Capability Framework for the role. This will cover drawing upon your experience for the following areas: Programming & Build including User Focus Information Security System Design If you pass, you'll be made a Conditional Offer of Employment, subject to vetting. Please note, you must successfully pass each stage of the process to progress to the next. Your application may take around 6 - 9 months to process including vetting, so we advise you to continue any current employment until you have received your final job offer. Before you apply To work at MI5 you need to be a British citizen or hold dual British nationality. You can read our full eligibility criteria here. This role requires the highest security clearance, known as Developed Vetting (DV). It's something everyone in the UK Intelligence Community undertakes. You can find out more about the vetting process here. Please note we have a strict drugs policy, so once you start your application, you can't take any recreational drugs and you'll need to declare your previous drug usage at the relevant stage. Before you apply, we advise you to consider setting up a separate email address for your contact with us, to ensure your personal and application correspondence remain separate . click apply for full job details
18/07/2026
Full time
Salary: London: £66,332 - £70,791. Manchester: £64,005 - 68,185 (depending on skills and experience) with an opportunity to qualify for additional allowances and a skills-related payment under the Government Digital and Data Profession Capability Framework (GDDPCF) - formerly known as DDaT. London roles - 36 hours per week, Manchester roles - 37 hours per week. Flexible working: we support full-time, part-time, compressed hours and other flexible working patterns. This is primarily an office-based role, and therefore, opportunities for home or remote working will be limited and dependent on business needs. About us MI5 keeps the country safe from serious threats like terrorism and attempts by states to harm the UK, its people and way of life. We carry out investigations by obtaining, analysing, and assessing intelligence, and then work with a range of partners including MI6 and GCHQ to disrupt these threats. Through our protective security arm, we provide advice and guidance to government, businesses and other organisations about how to keep themselves safe. A role in MI5 means you'll do unique and challenging work in a supportive and encouraging environment, making a real difference to UK national security. The role Technology sits at the heart of everything we do at MI5. We're looking for Software Engineers with multiple years of experience who are prepared to take on a more senior role within a multi-disciplinary product team. You'll develop solutions, mentor less experienced colleagues whilst working alongside a range of technical specialists including Product Owners, Business Analysts, Delivery Managers, Data Scientists and Machine Learning Engineers, to build and run secure applications and products. You'll be using agile methodologies to deliver products that are core to MI5's operations, and you'll be using cloud technologies such as AWS and Azure as well, supporting on-premises platforms and long-established technologies and frameworks. You'll share our collective responsibility to keep the country safe and be keen to constantly improve yourself and your team, taking on ownership of large problems, breaking them down and working with the team to deliver new features throughout the engineering lifecycle. You'll support the products owned by the team, working with users to identify and fix defects (providing on-call support if necessary) developing automated tests to maintain the assurance of our products and deploy through continuous integration pipelines. You'll support and mentor less experienced colleagues and help them to understand what great engineering looks like, promoting best practises, participating in our engineering community and guilds, and encourage cross-organisation initiatives to help build our community of engineers. Many of our engineers work directly within our mission teams and all engineers have a unique opportunity to see first hand how their work contributes to UK national security, while remaining part of a supportive and inclusive technical profession. Our tech stacks vary between products (such as Java, Python, C#, React.js, Oracle, Mongo, Elastic Search and Hadoop to name a few). We embrace DevSecOps mindset, and our teams automate, run and support what we build. You'll be working under the Government Digital and Data Profession Capability Framework (formerly known as DDaT), which recognises and rewards specialist expertise. Due to the nature of our work, most of the teams only work from the office. There are limited opportunities to work in a hybrid way. This is not guaranteed and dependent on the business need. Whether it's building a platform to enable the analysis of data systems to track the progress of our investigations, developing robust and scalable capabilities for our Data Science teams, compliance services to ensure we are operating legally or tooling to improve our developer experience, the nature of our work presents unique and fascinating engineering challenges. About you We value your solid communication skills, as you communicate effectively with technical and non-technical colleagues. You'll demonstrate competency in leadership and you're continuously looking for opportunities to develop and learn new engineering practices and approaches. Training and development We're committed to developing you and recognise this will look different for everyone. We'll use the Government Digital and Data Profession Capability Framework (formerly known as DDaT) as a compass to provide guidance and tools to support you. You can find out more about the framework here: Government Digital and Data Profession Capability Framework. There'll be opportunities to gain qualifications and pursue specialist pathways, as well as undertaking tailored training, coaching and mentoring. You will also have up to 20% innovation and personal development time. As you develop, grow, and maintain your technical skills, you will have the opportunity to progress through GDDPCF pay points. You'll need to regularly demonstrate and accredit your skills based on the framework. If you don't maintain the required skills, you'll be given the opportunity and support to rectify this, as you could revert to a lower level of capability and pay. Rewards and benefits You'll receive a starting salary of between London: £66,332 - £70,791. Manchester: £64,005 - 68,185 (depending on skills and experience) plus other benefits including: 25 Days Annual Leave automatically rising to 30 days after 5 years' service, and an additional 10.5 days public and privilege holidays opportunities to be recognised through our employee performance scheme dedicated development budget interest free season ticket loan cycle to work scheme facilities such as a gym, restaurant and on site coffee bars (at some locations) paid parental and adoption leave. Equal opportunities At MI5 diversity and inclusion are critical to our mission. To protect the UK, we need a truly diverse workforce that reflects the society we serve. This includes diversity in every sense of the word: those with different backgrounds, ages, ethnicities, gender identities, sexual orientations, ways of thinking and those with disabilities or neurodivergent conditions. We therefore welcome and encourage applications from everyone, including those from groups that are under represented in our workforce such as women, those from an ethnic minority background, people with disabilities and those from low socio economic backgrounds. MI5 is proud to have achieved Leader status within the Department for Work and Pensions' Disability Confident scheme. This initiative encourages employers to think differently about disability and take action to improve how they recruit, retain and develop disabled people. As a Disability Confident Organisation, we aim to ensure that a fair and proportionate number of disabled applicants who best meet the essential criteria for this position will be offered an interview, where it is practical for us to do so. (This is known as the Offer of an interview.) To secure an interview for this role, you must meet the minimum criteria, all of which are assessed at the application sift. These criteria (in order of application process) are: Demonstrate ability in developing software in at least one common language (assessed at application form sift) Demonstrate an understanding of the principles of modern standards approaches such as continuous integration and delivery, test driven development and cloud services (assessed at application form sift) Demonstrate taking on a more senior role within a team. Provide technical direction and the ability to guide and support others with regards to software developing (assessed at application form sift) There is a wide range of extra support available throughout the recruitment process to enable you to do your best, see our website for information on reasonable adjustments we can offer. What to expect You'll be invited to upload your CV and complete an online application form. If you pass, you'll be invited to an interview where you will be asked questions relating to your motivation and our core competencies. If you pass, you'll be invited to a technical skill based interview based on the Government Digital and Data Profession Capability Framework for the role. This will cover drawing upon your experience for the following areas: Programming & Build including User Focus Information Security System Design If you pass, you'll be made a Conditional Offer of Employment, subject to vetting. Please note, you must successfully pass each stage of the process to progress to the next. Your application may take around 6 - 9 months to process including vetting, so we advise you to continue any current employment until you have received your final job offer. Before you apply To work at MI5 you need to be a British citizen or hold dual British nationality. You can read our full eligibility criteria here. This role requires the highest security clearance, known as Developed Vetting (DV). It's something everyone in the UK Intelligence Community undertakes. You can find out more about the vetting process here. Please note we have a strict drugs policy, so once you start your application, you can't take any recreational drugs and you'll need to declare your previous drug usage at the relevant stage. Before you apply, we advise you to consider setting up a separate email address for your contact with us, to ensure your personal and application correspondence remain separate . click apply for full job details
MI5
Software Engineer
MI5 Manchester, Lancashire
Salary: London: £66,332 - £70,791. Manchester: £64,005 - 68,185 (depending on skills and experience) with an opportunity to qualify for additional allowances and a skills-related payment under the Government Digital and Data Profession Capability Framework (GDDPCF) - formerly known as DDaT. London roles - 36 hours per week, Manchester roles - 37 hours per week. Flexible working: we support full-time, part-time, compressed hours and other flexible working patterns. This is primarily an office-based role, and therefore, opportunities for home or remote working will be limited and dependent on business needs. About us MI5 keeps the country safe from serious threats like terrorism and attempts by states to harm the UK, its people and way of life. We carry out investigations by obtaining, analysing, and assessing intelligence, and then work with a range of partners including MI6 and GCHQ to disrupt these threats. Through our protective security arm, we provide advice and guidance to government, businesses and other organisations about how to keep themselves safe. A role in MI5 means you'll do unique and challenging work in a supportive and encouraging environment, making a real difference to UK national security. The role Technology sits at the heart of everything we do at MI5. We're looking for Software Engineers with multiple years of experience who are prepared to take on a more senior role within a multi-disciplinary product team. You'll develop solutions, mentor less experienced colleagues whilst working alongside a range of technical specialists including Product Owners, Business Analysts, Delivery Managers, Data Scientists and Machine Learning Engineers, to build and run secure applications and products. You'll be using agile methodologies to deliver products that are core to MI5's operations, and you'll be using cloud technologies such as AWS and Azure as well, supporting on-premises platforms and long-established technologies and frameworks. You'll share our collective responsibility to keep the country safe and be keen to constantly improve yourself and your team, taking on ownership of large problems, breaking them down and working with the team to deliver new features throughout the engineering lifecycle. You'll support the products owned by the team, working with users to identify and fix defects (providing on-call support if necessary) developing automated tests to maintain the assurance of our products and deploy through continuous integration pipelines. You'll support and mentor less experienced colleagues and help them to understand what great engineering looks like, promoting best practises, participating in our engineering community and guilds, and encourage cross-organisation initiatives to help build our community of engineers. Many of our engineers work directly within our mission teams and all engineers have a unique opportunity to see first hand how their work contributes to UK national security, while remaining part of a supportive and inclusive technical profession. Our tech stacks vary between products (such as Java, Python, C#, React.js, Oracle, Mongo, Elastic Search and Hadoop to name a few). We embrace DevSecOps mindset, and our teams automate, run and support what we build. You'll be working under the Government Digital and Data Profession Capability Framework (formerly known as DDaT), which recognises and rewards specialist expertise. Due to the nature of our work, most of the teams only work from the office. There are limited opportunities to work in a hybrid way. This is not guaranteed and dependent on the business need. Whether it's building a platform to enable the analysis of data systems to track the progress of our investigations, developing robust and scalable capabilities for our Data Science teams, compliance services to ensure we are operating legally or tooling to improve our developer experience, the nature of our work presents unique and fascinating engineering challenges. About you We value your solid communication skills, as you communicate effectively with technical and non-technical colleagues. You'll demonstrate competency in leadership and you're continuously looking for opportunities to develop and learn new engineering practices and approaches. Training and development We're committed to developing you and recognise this will look different for everyone. We'll use the Government Digital and Data Profession Capability Framework (formerly known as DDaT) as a compass to provide guidance and tools to support you. You can find out more about the framework here: Government Digital and Data Profession Capability Framework. There'll be opportunities to gain qualifications and pursue specialist pathways, as well as undertaking tailored training, coaching and mentoring. You will also have up to 20% innovation and personal development time. As you develop, grow, and maintain your technical skills, you will have the opportunity to progress through GDDPCF pay points. You'll need to regularly demonstrate and accredit your skills based on the framework. If you don't maintain the required skills, you'll be given the opportunity and support to rectify this, as you could revert to a lower level of capability and pay. Rewards and benefits You'll receive a starting salary of between London: £66,332 - £70,791. Manchester: £64,005 - 68,185 (depending on skills and experience) plus other benefits including: 25 Days Annual Leave automatically rising to 30 days after 5 years' service, and an additional 10.5 days public and privilege holidays opportunities to be recognised through our employee performance scheme dedicated development budget interest free season ticket loan cycle to work scheme facilities such as a gym, restaurant and on site coffee bars (at some locations) paid parental and adoption leave. Equal opportunities At MI5 diversity and inclusion are critical to our mission. To protect the UK, we need a truly diverse workforce that reflects the society we serve. This includes diversity in every sense of the word: those with different backgrounds, ages, ethnicities, gender identities, sexual orientations, ways of thinking and those with disabilities or neurodivergent conditions. We therefore welcome and encourage applications from everyone, including those from groups that are under represented in our workforce such as women, those from an ethnic minority background, people with disabilities and those from low socio economic backgrounds. MI5 is proud to have achieved Leader status within the Department for Work and Pensions' Disability Confident scheme. This initiative encourages employers to think differently about disability and take action to improve how they recruit, retain and develop disabled people. As a Disability Confident Organisation, we aim to ensure that a fair and proportionate number of disabled applicants who best meet the essential criteria for this position will be offered an interview, where it is practical for us to do so. (This is known as the Offer of an interview.) To secure an interview for this role, you must meet the minimum criteria, all of which are assessed at the application sift. These criteria (in order of application process) are: Demonstrate ability in developing software in at least one common language (assessed at application form sift) Demonstrate an understanding of the principles of modern standards approaches such as continuous integration and delivery, test driven development and cloud services (assessed at application form sift) Demonstrate taking on a more senior role within a team. Provide technical direction and the ability to guide and support others with regards to software developing (assessed at application form sift) There is a wide range of extra support available throughout the recruitment process to enable you to do your best, see our website for information on reasonable adjustments we can offer. What to expect You'll be invited to upload your CV and complete an online application form. If you pass, you'll be invited to an interview where you will be asked questions relating to your motivation and our core competencies. If you pass, you'll be invited to a technical skill based interview based on the Government Digital and Data Profession Capability Framework for the role. This will cover drawing upon your experience for the following areas: Programming & Build including User Focus Information Security System Design If you pass, you'll be made a Conditional Offer of Employment, subject to vetting. Please note, you must successfully pass each stage of the process to progress to the next. Your application may take around 6 - 9 months to process including vetting, so we advise you to continue any current employment until you have received your final job offer. Before you apply To work at MI5 you need to be a British citizen or hold dual British nationality. You can read our full eligibility criteria here. This role requires the highest security clearance, known as Developed Vetting (DV). It's something everyone in the UK Intelligence Community undertakes. You can find out more about the vetting process here. Please note we have a strict drugs policy, so once you start your application, you can't take any recreational drugs and you'll need to declare your previous drug usage at the relevant stage. Before you apply, we advise you to consider setting up a separate email address for your contact with us, to ensure your personal and application correspondence remain separate . click apply for full job details
18/07/2026
Full time
Salary: London: £66,332 - £70,791. Manchester: £64,005 - 68,185 (depending on skills and experience) with an opportunity to qualify for additional allowances and a skills-related payment under the Government Digital and Data Profession Capability Framework (GDDPCF) - formerly known as DDaT. London roles - 36 hours per week, Manchester roles - 37 hours per week. Flexible working: we support full-time, part-time, compressed hours and other flexible working patterns. This is primarily an office-based role, and therefore, opportunities for home or remote working will be limited and dependent on business needs. About us MI5 keeps the country safe from serious threats like terrorism and attempts by states to harm the UK, its people and way of life. We carry out investigations by obtaining, analysing, and assessing intelligence, and then work with a range of partners including MI6 and GCHQ to disrupt these threats. Through our protective security arm, we provide advice and guidance to government, businesses and other organisations about how to keep themselves safe. A role in MI5 means you'll do unique and challenging work in a supportive and encouraging environment, making a real difference to UK national security. The role Technology sits at the heart of everything we do at MI5. We're looking for Software Engineers with multiple years of experience who are prepared to take on a more senior role within a multi-disciplinary product team. You'll develop solutions, mentor less experienced colleagues whilst working alongside a range of technical specialists including Product Owners, Business Analysts, Delivery Managers, Data Scientists and Machine Learning Engineers, to build and run secure applications and products. You'll be using agile methodologies to deliver products that are core to MI5's operations, and you'll be using cloud technologies such as AWS and Azure as well, supporting on-premises platforms and long-established technologies and frameworks. You'll share our collective responsibility to keep the country safe and be keen to constantly improve yourself and your team, taking on ownership of large problems, breaking them down and working with the team to deliver new features throughout the engineering lifecycle. You'll support the products owned by the team, working with users to identify and fix defects (providing on-call support if necessary) developing automated tests to maintain the assurance of our products and deploy through continuous integration pipelines. You'll support and mentor less experienced colleagues and help them to understand what great engineering looks like, promoting best practises, participating in our engineering community and guilds, and encourage cross-organisation initiatives to help build our community of engineers. Many of our engineers work directly within our mission teams and all engineers have a unique opportunity to see first hand how their work contributes to UK national security, while remaining part of a supportive and inclusive technical profession. Our tech stacks vary between products (such as Java, Python, C#, React.js, Oracle, Mongo, Elastic Search and Hadoop to name a few). We embrace DevSecOps mindset, and our teams automate, run and support what we build. You'll be working under the Government Digital and Data Profession Capability Framework (formerly known as DDaT), which recognises and rewards specialist expertise. Due to the nature of our work, most of the teams only work from the office. There are limited opportunities to work in a hybrid way. This is not guaranteed and dependent on the business need. Whether it's building a platform to enable the analysis of data systems to track the progress of our investigations, developing robust and scalable capabilities for our Data Science teams, compliance services to ensure we are operating legally or tooling to improve our developer experience, the nature of our work presents unique and fascinating engineering challenges. About you We value your solid communication skills, as you communicate effectively with technical and non-technical colleagues. You'll demonstrate competency in leadership and you're continuously looking for opportunities to develop and learn new engineering practices and approaches. Training and development We're committed to developing you and recognise this will look different for everyone. We'll use the Government Digital and Data Profession Capability Framework (formerly known as DDaT) as a compass to provide guidance and tools to support you. You can find out more about the framework here: Government Digital and Data Profession Capability Framework. There'll be opportunities to gain qualifications and pursue specialist pathways, as well as undertaking tailored training, coaching and mentoring. You will also have up to 20% innovation and personal development time. As you develop, grow, and maintain your technical skills, you will have the opportunity to progress through GDDPCF pay points. You'll need to regularly demonstrate and accredit your skills based on the framework. If you don't maintain the required skills, you'll be given the opportunity and support to rectify this, as you could revert to a lower level of capability and pay. Rewards and benefits You'll receive a starting salary of between London: £66,332 - £70,791. Manchester: £64,005 - 68,185 (depending on skills and experience) plus other benefits including: 25 Days Annual Leave automatically rising to 30 days after 5 years' service, and an additional 10.5 days public and privilege holidays opportunities to be recognised through our employee performance scheme dedicated development budget interest free season ticket loan cycle to work scheme facilities such as a gym, restaurant and on site coffee bars (at some locations) paid parental and adoption leave. Equal opportunities At MI5 diversity and inclusion are critical to our mission. To protect the UK, we need a truly diverse workforce that reflects the society we serve. This includes diversity in every sense of the word: those with different backgrounds, ages, ethnicities, gender identities, sexual orientations, ways of thinking and those with disabilities or neurodivergent conditions. We therefore welcome and encourage applications from everyone, including those from groups that are under represented in our workforce such as women, those from an ethnic minority background, people with disabilities and those from low socio economic backgrounds. MI5 is proud to have achieved Leader status within the Department for Work and Pensions' Disability Confident scheme. This initiative encourages employers to think differently about disability and take action to improve how they recruit, retain and develop disabled people. As a Disability Confident Organisation, we aim to ensure that a fair and proportionate number of disabled applicants who best meet the essential criteria for this position will be offered an interview, where it is practical for us to do so. (This is known as the Offer of an interview.) To secure an interview for this role, you must meet the minimum criteria, all of which are assessed at the application sift. These criteria (in order of application process) are: Demonstrate ability in developing software in at least one common language (assessed at application form sift) Demonstrate an understanding of the principles of modern standards approaches such as continuous integration and delivery, test driven development and cloud services (assessed at application form sift) Demonstrate taking on a more senior role within a team. Provide technical direction and the ability to guide and support others with regards to software developing (assessed at application form sift) There is a wide range of extra support available throughout the recruitment process to enable you to do your best, see our website for information on reasonable adjustments we can offer. What to expect You'll be invited to upload your CV and complete an online application form. If you pass, you'll be invited to an interview where you will be asked questions relating to your motivation and our core competencies. If you pass, you'll be invited to a technical skill based interview based on the Government Digital and Data Profession Capability Framework for the role. This will cover drawing upon your experience for the following areas: Programming & Build including User Focus Information Security System Design If you pass, you'll be made a Conditional Offer of Employment, subject to vetting. Please note, you must successfully pass each stage of the process to progress to the next. Your application may take around 6 - 9 months to process including vetting, so we advise you to continue any current employment until you have received your final job offer. Before you apply To work at MI5 you need to be a British citizen or hold dual British nationality. You can read our full eligibility criteria here. This role requires the highest security clearance, known as Developed Vetting (DV). It's something everyone in the UK Intelligence Community undertakes. You can find out more about the vetting process here. Please note we have a strict drugs policy, so once you start your application, you can't take any recreational drugs and you'll need to declare your previous drug usage at the relevant stage. Before you apply, we advise you to consider setting up a separate email address for your contact with us, to ensure your personal and application correspondence remain separate . click apply for full job details
Ripple
Staff DevOps Engineer
Ripple
Please note this is for London, UK. You only need to apply to one location if there are multiple listed for the job. At Ripple, we're building a world where value moves like information does today. It's big, it's bold, and we're already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. Developer Operations (DevOps) at Ripple manages communication, collaboration, and integration between Development and Operations teams. They ensure infrastructures, tools, and processes are streamlined and effective for automated product delivery. The Staff Software Engineer, DevOps will contribute to the discovery, development, and implementation of solutions to improve infrastructure and release pipelines. These solutions will include developer infrastructure, production infrastructure layout and maintenance, capacity and load testing, CI/CD infrastructure, and release process automation. You will push the boundaries with new tools and technologies and use a data-driven approach for achieving desired results. Candidates should enjoy working openly and collaboratively with a team with varied strengths and possess an ability to encourage and drive engineering standard processes. WHAT YOU'LL DO: Develop, deploy, and maintain Ripple's multi-region, multi-provider service platforms Supply build and development of tools for automation, monitoring, and instrumentation to reduce operational friction and increase engineering efficiency Lead discovery of next-generation solutions and work with wider engineering teams on implementation, adoption, and continuous improvements Build and automate new and existing platform and application lifecycle services, using data to converge on declared states with minimal human interaction Collaborate with product engineering to ensure code is production-ready Participate in the adoption of DevOps-first principles within the organisation WHAT YOU'LL BRING: 6+ years of hands-on experience in DevOps or related roles Strong experience in either Python, Go, or Java Experience managing extensive, multi-region service platforms Proficiency in Kubernetes and background in managing cloud infrastructure, especially AWS Experience with container schedulers and runtimes such as Docker, Rkt, or OCI running on Kubernetes, Rancher, or Mesos Experience with Infrastructure-as-Code (e.g., Terraform, CloudFormation, etc.) Security awareness, with an emphasis on crafting for security standard methodologies Experience with Agile development of distributed services, with a focus on robust software build, scalability, and security A positive demeanour and a passion for sharing knowledge WHO WE ARE: Do Your Best Work The opportunity to build in a fast-paced start-up environment with experienced industry leaders A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning. Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team. In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in. Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team We come together for moments that matter which include team offsites, team bonding activities, happy hours and more! Take Control of Your Finances Competitive salary, bonuses, and equity Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support Employee giving match Take Care of Yourself R&R days so you can rest and recharge Generous wellness reimbursement and weekly onsite & virtual programming Generous vacation policy - work with your manager to take time off when you need it Industry-leading parental leave policies. Family planning benefits. Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events Benefits listed above are for full-time employees. Ripple is an Equal Opportunity Employer. We're committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.
17/07/2026
Full time
Please note this is for London, UK. You only need to apply to one location if there are multiple listed for the job. At Ripple, we're building a world where value moves like information does today. It's big, it's bold, and we're already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. Developer Operations (DevOps) at Ripple manages communication, collaboration, and integration between Development and Operations teams. They ensure infrastructures, tools, and processes are streamlined and effective for automated product delivery. The Staff Software Engineer, DevOps will contribute to the discovery, development, and implementation of solutions to improve infrastructure and release pipelines. These solutions will include developer infrastructure, production infrastructure layout and maintenance, capacity and load testing, CI/CD infrastructure, and release process automation. You will push the boundaries with new tools and technologies and use a data-driven approach for achieving desired results. Candidates should enjoy working openly and collaboratively with a team with varied strengths and possess an ability to encourage and drive engineering standard processes. WHAT YOU'LL DO: Develop, deploy, and maintain Ripple's multi-region, multi-provider service platforms Supply build and development of tools for automation, monitoring, and instrumentation to reduce operational friction and increase engineering efficiency Lead discovery of next-generation solutions and work with wider engineering teams on implementation, adoption, and continuous improvements Build and automate new and existing platform and application lifecycle services, using data to converge on declared states with minimal human interaction Collaborate with product engineering to ensure code is production-ready Participate in the adoption of DevOps-first principles within the organisation WHAT YOU'LL BRING: 6+ years of hands-on experience in DevOps or related roles Strong experience in either Python, Go, or Java Experience managing extensive, multi-region service platforms Proficiency in Kubernetes and background in managing cloud infrastructure, especially AWS Experience with container schedulers and runtimes such as Docker, Rkt, or OCI running on Kubernetes, Rancher, or Mesos Experience with Infrastructure-as-Code (e.g., Terraform, CloudFormation, etc.) Security awareness, with an emphasis on crafting for security standard methodologies Experience with Agile development of distributed services, with a focus on robust software build, scalability, and security A positive demeanour and a passion for sharing knowledge WHO WE ARE: Do Your Best Work The opportunity to build in a fast-paced start-up environment with experienced industry leaders A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning. Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team. In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in. Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team We come together for moments that matter which include team offsites, team bonding activities, happy hours and more! Take Control of Your Finances Competitive salary, bonuses, and equity Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support Employee giving match Take Care of Yourself R&R days so you can rest and recharge Generous wellness reimbursement and weekly onsite & virtual programming Generous vacation policy - work with your manager to take time off when you need it Industry-leading parental leave policies. Family planning benefits. Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events Benefits listed above are for full-time employees. Ripple is an Equal Opportunity Employer. We're committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.
Software Engineer - AI Platform & Agents
Moody
Let's begin! Software Engineer - AI Platform & Agents (14135) At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 3+ years of experience in backend software development, building scalable, resilient, and production-grade systems Hands-on experience developing AI-powered applications, including large language models (LLMs), AI agents, retrieval-augmented generation, prompt engineering, evaluation frameworks, and model optimization techniques Proven ability to take AI solutions from concept and experimentation through to production deployment, optimizing for performance, reliability, scalability, and cost Strong knowledge of cloud platforms such as AWS, GCP, or Azure, along with containerization and orchestration technologies including Docker, ECS, and Kubernetes Proficiency with databases such as PostgreSQL and MongoDB and caching technologies such as Redis for high-performance data storage and retrieval Experience designing and building APIs, distributed systems, and event-driven architectures in modern programming languages such as Python, TypeScript, Java, Go, or similar Familiarity with MLOps practices, model monitoring, observability, versioning, and automated deployment pipelines preferred Strong problem solving skills with the ability to navigate ambiguity, experiment rapidly, and deliver impactful solutions that create measurable business value Excellent communication and collaboration skills with demonstrated success working across multidisciplinary teams of engineers, data scientists, and product stakeholders Education Bachelor's degree or higher in Computer Science, Software Engineering, or a related field Responsibilities As a Software Engineer specializing in AI systems, you will help shape the next generation of intelligent applications by building scalable platforms that bring cutting edge AI capabilities into real world production environments. Working at the intersection of software engineering and machine learning, you will design and develop systems that power AI agents, large language model applications, and advanced automation solutions used by teams across the business. You will collaborate closely with engineers, data scientists, and product partners to transform innovative ideas into reliable, secure, and impactful products. Design and build scalable backend platforms, APIs, and services that power AI applications, intelligent automation solutions, and AI agents Develop and deploy advanced LLM powered applications using techniques such as retrieval augmented generation, prompt engineering, evaluation frameworks, and model optimization Create robust data and inference pipelines that support both real time and batch AI workloads at enterprise scale Partner with data scientists and machine learning engineers to integrate emerging AI capabilities into production products and services Build systems that enable AI agents to reason, automate tasks, interact with tools, and solve complex business challenges autonomously Optimize applications for performance, scalability, reliability, and cost efficiency while supporting increasing AI adoption and usage Implement engineering best practices around observability, monitoring, testing, security, and operational excellence Establish and champion MLOps practices including model lifecycle management, prompt versioning, automated evaluation, and continuous improvement Build reusable frameworks, developer tooling, and platform capabilities that accelerate AI innovation across multiple teams Participate in architecture discussions, technical design reviews, and engineering initiatives that influence the future direction of AI products Mentor engineers, share technical expertise, and contribute to a culture of innovation, experimentation, and continuous learning About the Team Our Innovation team is responsible for building next-generation internal and external products powered by cutting edge artificial intelligence technologies, including large language models, AI agents, machine learning, and natural language processing. The group is made up of a diverse set of engineers, data scientists, and AI specialists who are passionate about solving complex challenges and turning breakthrough ideas into real world solutions. We operate in agile, highly collaborative squads focused on delivering innovative products that enhance productivity, unlock insights, and create measurable business impact. Collaboration is at the heart of everything we do. Engineers have the opportunity to work across the full AI lifecycle, from experimentation and prototyping through to large scale production deployment. Joining our team means working on some of the most exciting challenges in applied AI, contributing to products used across the organisation, and being part of a culture that values curiosity, innovation, knowledge sharing, and continuous growth. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
16/07/2026
Full time
Let's begin! Software Engineer - AI Platform & Agents (14135) At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 3+ years of experience in backend software development, building scalable, resilient, and production-grade systems Hands-on experience developing AI-powered applications, including large language models (LLMs), AI agents, retrieval-augmented generation, prompt engineering, evaluation frameworks, and model optimization techniques Proven ability to take AI solutions from concept and experimentation through to production deployment, optimizing for performance, reliability, scalability, and cost Strong knowledge of cloud platforms such as AWS, GCP, or Azure, along with containerization and orchestration technologies including Docker, ECS, and Kubernetes Proficiency with databases such as PostgreSQL and MongoDB and caching technologies such as Redis for high-performance data storage and retrieval Experience designing and building APIs, distributed systems, and event-driven architectures in modern programming languages such as Python, TypeScript, Java, Go, or similar Familiarity with MLOps practices, model monitoring, observability, versioning, and automated deployment pipelines preferred Strong problem solving skills with the ability to navigate ambiguity, experiment rapidly, and deliver impactful solutions that create measurable business value Excellent communication and collaboration skills with demonstrated success working across multidisciplinary teams of engineers, data scientists, and product stakeholders Education Bachelor's degree or higher in Computer Science, Software Engineering, or a related field Responsibilities As a Software Engineer specializing in AI systems, you will help shape the next generation of intelligent applications by building scalable platforms that bring cutting edge AI capabilities into real world production environments. Working at the intersection of software engineering and machine learning, you will design and develop systems that power AI agents, large language model applications, and advanced automation solutions used by teams across the business. You will collaborate closely with engineers, data scientists, and product partners to transform innovative ideas into reliable, secure, and impactful products. Design and build scalable backend platforms, APIs, and services that power AI applications, intelligent automation solutions, and AI agents Develop and deploy advanced LLM powered applications using techniques such as retrieval augmented generation, prompt engineering, evaluation frameworks, and model optimization Create robust data and inference pipelines that support both real time and batch AI workloads at enterprise scale Partner with data scientists and machine learning engineers to integrate emerging AI capabilities into production products and services Build systems that enable AI agents to reason, automate tasks, interact with tools, and solve complex business challenges autonomously Optimize applications for performance, scalability, reliability, and cost efficiency while supporting increasing AI adoption and usage Implement engineering best practices around observability, monitoring, testing, security, and operational excellence Establish and champion MLOps practices including model lifecycle management, prompt versioning, automated evaluation, and continuous improvement Build reusable frameworks, developer tooling, and platform capabilities that accelerate AI innovation across multiple teams Participate in architecture discussions, technical design reviews, and engineering initiatives that influence the future direction of AI products Mentor engineers, share technical expertise, and contribute to a culture of innovation, experimentation, and continuous learning About the Team Our Innovation team is responsible for building next-generation internal and external products powered by cutting edge artificial intelligence technologies, including large language models, AI agents, machine learning, and natural language processing. The group is made up of a diverse set of engineers, data scientists, and AI specialists who are passionate about solving complex challenges and turning breakthrough ideas into real world solutions. We operate in agile, highly collaborative squads focused on delivering innovative products that enhance productivity, unlock insights, and create measurable business impact. Collaboration is at the heart of everything we do. Engineers have the opportunity to work across the full AI lifecycle, from experimentation and prototyping through to large scale production deployment. Joining our team means working on some of the most exciting challenges in applied AI, contributing to products used across the organisation, and being part of a culture that values curiosity, innovation, knowledge sharing, and continuous growth. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
Staff DevOps Engineer
United States Digital Space LLC
At the company, we're building a world where value moves like information does today. It's big, it's bold, and we're already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you're ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK Developer Operations (DevOps) at the company manages communication, collaboration, and integration between Development and Operations teams. They ensure infrastructures, tools, and processes are streamlined and effective for automated product delivery. The Staff Software Engineer, DevOps will contribute to the discovery, development, and implementation of solutions to improve infrastructure and release pipelines. These solutions will include developer infrastructure, production infrastructure layout and maintenance, capacity and load testing, CI/CD infrastructure, and release process automation. You will push the boundaries with new tools and technologies and use a data-driven approach for achieving desired results. Candidates should enjoy working openly and collaboratively with a team with varied strengths and possess an ability to encourage and drive engineering standard processes. WHAT YOU'LL DO Develop, deploy, and maintain the company's multi-region, multi-provider service platforms Supply build and development of tools for automation, monitoring, and instrumentation to reduce operational friction and increase engineering efficiency Lead discovery of next-generation solutions and work with wider engineering teams on implementation, adoption, and continuous improvements Build and automate new and existing platform and application lifecycle services, using data to converge on declared states with minimal human interaction Collaborate with product engineering to ensure code is production-ready Participate in the adoption of DevOps-first principles within the organisation WHAT YOU'LL BRING 6+ years of hands-on experience in DevOps or related roles Strong experience in either Python, Go, or Java Experience managing extensive, multi-region service platforms Proficiency in Kubernetes and background in managing cloud infrastructure, especially AWS Experience with container schedulers and runtimes such as Docker, Rkt, or OCI running on Kubernetes, Rancher, or Mesos Experience building deployment pipelines using common CI/CD tools Experience with Infrastructure-as-Code (e.g., Terraform, CloudFormation, etc.) Security awareness, with an emphasis on crafting for security standard methodologies Experience with Agile development of distributed services, with a focus on robust software build, scalability, and security A positive demeanour and a passion for sharing knowledge WHO WE ARE Do Your Best Work The opportunity to build in a fast-paced start-up environment with experienced industry leaders A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning. Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team. In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in. Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team We come together for moments that matter which include team offsites, team bonding activities, happy hours and more! Take Control of Your Finances Competitive salary, bonuses, and equity Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support Employee giving match Mobile phone stipend Take Care of Yourself R&R days so you can rest and recharge Generous wellness reimbursement and weekly onsite & virtual programming Generous vacation policy - work with your manager to take time off when you need it Industry-leading parental leave policies. Family planning benefits. Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events Benefits listed above are for full-time employees. the company is an Equal Opportunity Employer. We're committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance. Please find our UK/EU Applicant Privacy Notice and our California Applicant Privacy Notice for reference.
16/07/2026
Full time
At the company, we're building a world where value moves like information does today. It's big, it's bold, and we're already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you're ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK Developer Operations (DevOps) at the company manages communication, collaboration, and integration between Development and Operations teams. They ensure infrastructures, tools, and processes are streamlined and effective for automated product delivery. The Staff Software Engineer, DevOps will contribute to the discovery, development, and implementation of solutions to improve infrastructure and release pipelines. These solutions will include developer infrastructure, production infrastructure layout and maintenance, capacity and load testing, CI/CD infrastructure, and release process automation. You will push the boundaries with new tools and technologies and use a data-driven approach for achieving desired results. Candidates should enjoy working openly and collaboratively with a team with varied strengths and possess an ability to encourage and drive engineering standard processes. WHAT YOU'LL DO Develop, deploy, and maintain the company's multi-region, multi-provider service platforms Supply build and development of tools for automation, monitoring, and instrumentation to reduce operational friction and increase engineering efficiency Lead discovery of next-generation solutions and work with wider engineering teams on implementation, adoption, and continuous improvements Build and automate new and existing platform and application lifecycle services, using data to converge on declared states with minimal human interaction Collaborate with product engineering to ensure code is production-ready Participate in the adoption of DevOps-first principles within the organisation WHAT YOU'LL BRING 6+ years of hands-on experience in DevOps or related roles Strong experience in either Python, Go, or Java Experience managing extensive, multi-region service platforms Proficiency in Kubernetes and background in managing cloud infrastructure, especially AWS Experience with container schedulers and runtimes such as Docker, Rkt, or OCI running on Kubernetes, Rancher, or Mesos Experience building deployment pipelines using common CI/CD tools Experience with Infrastructure-as-Code (e.g., Terraform, CloudFormation, etc.) Security awareness, with an emphasis on crafting for security standard methodologies Experience with Agile development of distributed services, with a focus on robust software build, scalability, and security A positive demeanour and a passion for sharing knowledge WHO WE ARE Do Your Best Work The opportunity to build in a fast-paced start-up environment with experienced industry leaders A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning. Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team. In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in. Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team We come together for moments that matter which include team offsites, team bonding activities, happy hours and more! Take Control of Your Finances Competitive salary, bonuses, and equity Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support Employee giving match Mobile phone stipend Take Care of Yourself R&R days so you can rest and recharge Generous wellness reimbursement and weekly onsite & virtual programming Generous vacation policy - work with your manager to take time off when you need it Industry-leading parental leave policies. Family planning benefits. Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events Benefits listed above are for full-time employees. the company is an Equal Opportunity Employer. We're committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance. Please find our UK/EU Applicant Privacy Notice and our California Applicant Privacy Notice for reference.
Software Engineer - AI/ML Data Platforms - AI Engineer - Python
JPMorgan Chase & Co.
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the AI/ML Data Platforms business, youare an integral part of a team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. In this context, your primary clients will be AI Research (AIR) and the Machine learning Centre of Excellence (MLCoE) Job responsibilities Works closely with Data Scientists and AI Researchers to advance experiments into more robust, scalable, highly optimized production-grade apps. Develops and writes software applications for AI/ML platforms as well as building Generative AI based applications including Agents. Utilizes creative problem-solving skills to design, develop, and troubleshoot technical solutions, thinking beyond conventional approaches to innovate and resolve complex technical challenges. Proactively identifies opportunities to streamline, eliminate, or automate the remediation of recurring issues and developer challenges, enhancing the operational efficiency and excellence of software applications and systems. Leads evaluation sessions (cross-team) to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Mentors engineer within the team and drive practice across junior engineers in the team, as well as researchers / data scientists as they prototype solutions Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts with applied Full stack development experience. Practical experience in Infrastructure as Code development, ideally using Terraform. Hands on practical experience in system design, application development, testing, and ensuring operational stability. Advanced proficiency in one or more programming languages, with a strong focus on Python. Expertise in automation and continuous integration, delivery, and testing (CI/CD/CT) methods. Demonstrated experience leading effective use of approved AI assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security. Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices Comprehensive understanding of the Software Development Life Cycle (SDLC) and Model Development Life Cycle (MDLC). Deep understanding of agile methodologies and basic proficiency in architectural frameworks. Demonstrated proficiency in platform development and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Preferred qualifications, capabilities, and skills Demonstrable mastery of AI tools to enhance productivity and efficiency in daily tasks. Self motivated and proactive, with a strong ability to identify issues and challenge the status quo. Demonstrates initiative in learning and adapting to new technologies and methodologies. Experience in / exposure to a major business facing integrated application environment (e.g. risk, trading) and working with business facing developers Proven problem solving skills with a focus on innovation and continuous improvement. Excellent communication and collaboration skills to work effectively within cross functional teams.
16/07/2026
Full time
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the AI/ML Data Platforms business, youare an integral part of a team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. In this context, your primary clients will be AI Research (AIR) and the Machine learning Centre of Excellence (MLCoE) Job responsibilities Works closely with Data Scientists and AI Researchers to advance experiments into more robust, scalable, highly optimized production-grade apps. Develops and writes software applications for AI/ML platforms as well as building Generative AI based applications including Agents. Utilizes creative problem-solving skills to design, develop, and troubleshoot technical solutions, thinking beyond conventional approaches to innovate and resolve complex technical challenges. Proactively identifies opportunities to streamline, eliminate, or automate the remediation of recurring issues and developer challenges, enhancing the operational efficiency and excellence of software applications and systems. Leads evaluation sessions (cross-team) to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Mentors engineer within the team and drive practice across junior engineers in the team, as well as researchers / data scientists as they prototype solutions Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts with applied Full stack development experience. Practical experience in Infrastructure as Code development, ideally using Terraform. Hands on practical experience in system design, application development, testing, and ensuring operational stability. Advanced proficiency in one or more programming languages, with a strong focus on Python. Expertise in automation and continuous integration, delivery, and testing (CI/CD/CT) methods. Demonstrated experience leading effective use of approved AI assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security. Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices Comprehensive understanding of the Software Development Life Cycle (SDLC) and Model Development Life Cycle (MDLC). Deep understanding of agile methodologies and basic proficiency in architectural frameworks. Demonstrated proficiency in platform development and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Preferred qualifications, capabilities, and skills Demonstrable mastery of AI tools to enhance productivity and efficiency in daily tasks. Self motivated and proactive, with a strong ability to identify issues and challenge the status quo. Demonstrates initiative in learning and adapting to new technologies and methodologies. Experience in / exposure to a major business facing integrated application environment (e.g. risk, trading) and working with business facing developers Proven problem solving skills with a focus on innovation and continuous improvement. Excellent communication and collaboration skills to work effectively within cross functional teams.
Principal Forward Deployed Architect
Atlassian
Overview Working at Atlassian Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Responsibilities Your Future Team The Principal Forward Deployed Architect (FDA) is a trusted transformation architect who combines enterprise-grade technical design with consulting-grade business acumen to shape how strategic customers adopt Atlassian as their operating system for work. This is not a traditional Solutions Engineer role, nor a hands on keyboard engineering role. The FDA is the architect in the room - the person who turns a CIO's ambiguous "modernize how we work" into a credible, phased, AI native architecture and the business transformation plan that makes it stick across HR, Finance, Marketing, PMO, Operations, and Engineering. You will be embedded with 1-3 strategic accounts at a time, typically for 3-9 months each, owning both the technical truth and the business transformation narrative end to end. What You'll Do Business Transformation & Expansion Design and deliver the customer's end to end System of Work - expanding Atlassian beyond engineering into every business function. Lead workflow transformation including operating model design, CoE structures, governance, and platform team design. Expand into HR, Finance, Marketing, PMO, and Operations through cross functional workflow design. Drive AI adoption through practical use cases embedded into daily work. Own and evolve the System of Work blueprint based on outcomes and usage data. Architecture & Technical Design Own the target state architecture for strategic enterprise customers across the full Atlassian System of Work - Plans, Goals, Work, Knowledge, Code, and AI. Design across the full stack: multi tenant SaaS, identity (SAML/OIDC/SCIM), data residency, integrations (REST/GraphQL/event driven), Forge & Connect, Marketplace, and migration paths. Co design AI native workflows - Rovo agents, knowledge grounding, Teamwork Graph enrichment, and human in the loop patterns. Ship durable artifacts - reference architectures, ADRs, Forge prototypes, Terraform/IaC modules, Compass scorecards, and automation rule libraries. Orchestration & Influence Lead executive engagement and cross functional delivery - translating business outcomes into capability roadmaps and phased plans. Orchestrate execution across SE, SA, TAS/FDE, Professional Services, Partners, and customer stakeholders. Close the loop with Product - convert field patterns into prioritised product and platform requirements. Mentor Senior Solution Engineers, Solution Architects, and Partner Architects. Represent Atlassian externally through conference talks, reference architectures, and Developer Community contributions. Qualifications Your background Deep experience in forward deployed, customer engineering, professional services, or consulting roles - owning end to end platform transformations at Fortune 1000, large regulated, or public sector customers (at a SaaS vendor, major SI, or Atlassian Solution Partner). Experience designing on Forge, the Atlassian Marketplace ecosystem, or leading large Atlassian Cloud migrations. Executive presence and exceptional written communication; able to produce memos, ADRs, or design docs that stand up to executive review. Strong workflow and systems thinking - ability to map complex processes and design scalable ways of working across business functions. Comfort with enterprise architecture concepts: cloud native design, integration patterns, identity, security, and data. Ability to prototype, debug, and read code in at least one of: Java/Kotlin, TypeScript/Node, Python. Cross functional credibility with IT, PMO, HR, Finance, and senior business stakeholders. Willingness to travel 25-50% and operate across customer time zones. What will set you apart: AI/LLM architecture experience - RAG, knowledge graphs, agent design, AI governance. Domain depth in one or more of: DevOps / Platform Engineering, ITSM/ESM, Agile at Scale, FSI, Public Sector, Healthcare. Benefits & Perks Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit
13/07/2026
Full time
Overview Working at Atlassian Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Responsibilities Your Future Team The Principal Forward Deployed Architect (FDA) is a trusted transformation architect who combines enterprise-grade technical design with consulting-grade business acumen to shape how strategic customers adopt Atlassian as their operating system for work. This is not a traditional Solutions Engineer role, nor a hands on keyboard engineering role. The FDA is the architect in the room - the person who turns a CIO's ambiguous "modernize how we work" into a credible, phased, AI native architecture and the business transformation plan that makes it stick across HR, Finance, Marketing, PMO, Operations, and Engineering. You will be embedded with 1-3 strategic accounts at a time, typically for 3-9 months each, owning both the technical truth and the business transformation narrative end to end. What You'll Do Business Transformation & Expansion Design and deliver the customer's end to end System of Work - expanding Atlassian beyond engineering into every business function. Lead workflow transformation including operating model design, CoE structures, governance, and platform team design. Expand into HR, Finance, Marketing, PMO, and Operations through cross functional workflow design. Drive AI adoption through practical use cases embedded into daily work. Own and evolve the System of Work blueprint based on outcomes and usage data. Architecture & Technical Design Own the target state architecture for strategic enterprise customers across the full Atlassian System of Work - Plans, Goals, Work, Knowledge, Code, and AI. Design across the full stack: multi tenant SaaS, identity (SAML/OIDC/SCIM), data residency, integrations (REST/GraphQL/event driven), Forge & Connect, Marketplace, and migration paths. Co design AI native workflows - Rovo agents, knowledge grounding, Teamwork Graph enrichment, and human in the loop patterns. Ship durable artifacts - reference architectures, ADRs, Forge prototypes, Terraform/IaC modules, Compass scorecards, and automation rule libraries. Orchestration & Influence Lead executive engagement and cross functional delivery - translating business outcomes into capability roadmaps and phased plans. Orchestrate execution across SE, SA, TAS/FDE, Professional Services, Partners, and customer stakeholders. Close the loop with Product - convert field patterns into prioritised product and platform requirements. Mentor Senior Solution Engineers, Solution Architects, and Partner Architects. Represent Atlassian externally through conference talks, reference architectures, and Developer Community contributions. Qualifications Your background Deep experience in forward deployed, customer engineering, professional services, or consulting roles - owning end to end platform transformations at Fortune 1000, large regulated, or public sector customers (at a SaaS vendor, major SI, or Atlassian Solution Partner). Experience designing on Forge, the Atlassian Marketplace ecosystem, or leading large Atlassian Cloud migrations. Executive presence and exceptional written communication; able to produce memos, ADRs, or design docs that stand up to executive review. Strong workflow and systems thinking - ability to map complex processes and design scalable ways of working across business functions. Comfort with enterprise architecture concepts: cloud native design, integration patterns, identity, security, and data. Ability to prototype, debug, and read code in at least one of: Java/Kotlin, TypeScript/Node, Python. Cross functional credibility with IT, PMO, HR, Finance, and senior business stakeholders. Willingness to travel 25-50% and operate across customer time zones. What will set you apart: AI/LLM architecture experience - RAG, knowledge graphs, agent design, AI governance. Domain depth in one or more of: DevOps / Platform Engineering, ITSM/ESM, Agile at Scale, FSI, Public Sector, Healthcare. Benefits & Perks Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit
Senior Software Engineer II - Data Engineering
LexisNexis Risk Solutions
. About the team: Our team is dedicated to unlocking the rich knowledge embedded within Elsevier's content through our rich data platform; this empowers researchers, clinicians, and innovators worldwide to gain new insights, make informed decisions, and accelerate progress across research, healthcare, and life sciences.As part of this mission, the AI Engineering team is focused on building reusable generative AI capabilities that can be embedded across products and platforms. We create scalable, secure, and production-ready AI services - enabling downstream teams to integrate cutting- edge GenAI features. About the role: We are seeking a Senior Software Engineer II with a passion for generative AI and platform architecture. In this role, you will drive architectural decisions and set engineering standards, and implement robust systems to deliver reusable AI services and components, collaborating closely with cross-functional stakeholders to solve meaningful challenges. You will also contribute to mentoring other engineers and helping evolve our engineering practices. Key responsibilities: Lead architectural design and ensure technical consistency. Design, develop, and maintain generative AI services and reusable components using Python. Define and promote best practices in engineering, including scalability, observability, testing, and CI/CD. Contribute to system designs spanning multiple services and modules, aligning with architectural best practices. Collaborate with product, platform, and research teams to translate AI prototypes into production-ready capabilities. Work within a Kubernetes (EKS) environment to deploy scalable, containerized applications. Lead the resolution of complex technical challenges across distributed systems. Mentor less-senior developers on engineering principles, GenAI patterns, and platform development. Participate in code reviews, architecture sessions, and cross-team initiatives to ensure quality and maintainability. Stay informed of the latest developments in generative AI and advocate for responsible integration into product ecosystems. Requirements: 5+ years of software engineering experience. Proven experience leading technical architecture for large-scale platforms or services. Solid understanding of software development methodologies and data modelling principles. Deep expertise in Python (or failing that, Java). Strong proficiency in backend development and familiarity with modern AI/LLM tools and frameworks (e.g., LangChain, LangGraph). Strong experience with Kubernetes (EKS) and cloud-native architectures. Proven record of building scalable backend systems and APIs. Experience mentoring engineers and contributing to architectural decisions. Ability to work collaboratively across functions in an Agile or Kanban environment. Nice to have: Experience operationalizing LLMs or building an internal AI platform. Familiarity with observability practices (metrics, logging, alerts). Exposure to knowledge graphs or semantic search systems.Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives and shared parental leave, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Comprehensive Pension Plan Generous vacation entitlement and option for sabbatical leave Maternity, Paternity, Adoption, and Family Care leave Flexible working hours Personal Choice budget Internal communities and networks Various employee discounts Recruitment introduction reward Employee Assistance Program (global) About the business - A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: . Senior Software Engineer II - Data Engineering RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.
13/07/2026
Full time
. About the team: Our team is dedicated to unlocking the rich knowledge embedded within Elsevier's content through our rich data platform; this empowers researchers, clinicians, and innovators worldwide to gain new insights, make informed decisions, and accelerate progress across research, healthcare, and life sciences.As part of this mission, the AI Engineering team is focused on building reusable generative AI capabilities that can be embedded across products and platforms. We create scalable, secure, and production-ready AI services - enabling downstream teams to integrate cutting- edge GenAI features. About the role: We are seeking a Senior Software Engineer II with a passion for generative AI and platform architecture. In this role, you will drive architectural decisions and set engineering standards, and implement robust systems to deliver reusable AI services and components, collaborating closely with cross-functional stakeholders to solve meaningful challenges. You will also contribute to mentoring other engineers and helping evolve our engineering practices. Key responsibilities: Lead architectural design and ensure technical consistency. Design, develop, and maintain generative AI services and reusable components using Python. Define and promote best practices in engineering, including scalability, observability, testing, and CI/CD. Contribute to system designs spanning multiple services and modules, aligning with architectural best practices. Collaborate with product, platform, and research teams to translate AI prototypes into production-ready capabilities. Work within a Kubernetes (EKS) environment to deploy scalable, containerized applications. Lead the resolution of complex technical challenges across distributed systems. Mentor less-senior developers on engineering principles, GenAI patterns, and platform development. Participate in code reviews, architecture sessions, and cross-team initiatives to ensure quality and maintainability. Stay informed of the latest developments in generative AI and advocate for responsible integration into product ecosystems. Requirements: 5+ years of software engineering experience. Proven experience leading technical architecture for large-scale platforms or services. Solid understanding of software development methodologies and data modelling principles. Deep expertise in Python (or failing that, Java). Strong proficiency in backend development and familiarity with modern AI/LLM tools and frameworks (e.g., LangChain, LangGraph). Strong experience with Kubernetes (EKS) and cloud-native architectures. Proven record of building scalable backend systems and APIs. Experience mentoring engineers and contributing to architectural decisions. Ability to work collaboratively across functions in an Agile or Kanban environment. Nice to have: Experience operationalizing LLMs or building an internal AI platform. Familiarity with observability practices (metrics, logging, alerts). Exposure to knowledge graphs or semantic search systems.Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives and shared parental leave, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Comprehensive Pension Plan Generous vacation entitlement and option for sabbatical leave Maternity, Paternity, Adoption, and Family Care leave Flexible working hours Personal Choice budget Internal communities and networks Various employee discounts Recruitment introduction reward Employee Assistance Program (global) About the business - A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: . Senior Software Engineer II - Data Engineering RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.
Elsevier
Senior Software Engineer II - Data Engineering
Elsevier
. About the team: Our team is dedicated to unlocking the rich knowledge embedded within Elsevier's content through our rich data platform; this empowers researchers, clinicians, and innovators worldwide to gain new insights, make informed decisions, and accelerate progress across research, healthcare, and life sciences.As part of this mission, the AI Engineering team is focused on building reusable generative AI capabilities that can be embedded across products and platforms. We create scalable, secure, and production-ready AI services - enabling downstream teams to integrate cutting- edge GenAI features. About the role: We are seeking a Senior Software Engineer II with a passion for generative AI and platform architecture. In this role, you will drive architectural decisions and set engineering standards, and implement robust systems to deliver reusable AI services and components, collaborating closely with cross-functional stakeholders to solve meaningful challenges. You will also contribute to mentoring other engineers and helping evolve our engineering practices. Key responsibilities: Lead architectural design and ensure technical consistency. Design, develop, and maintain generative AI services and reusable components using Python. Define and promote best practices in engineering, including scalability, observability, testing, and CI/CD. Contribute to system designs spanning multiple services and modules, aligning with architectural best practices. Collaborate with product, platform, and research teams to translate AI prototypes into production-ready capabilities. Work within a Kubernetes (EKS) environment to deploy scalable, containerized applications. Lead the resolution of complex technical challenges across distributed systems. Mentor less-senior developers on engineering principles, GenAI patterns, and platform development. Participate in code reviews, architecture sessions, and cross-team initiatives to ensure quality and maintainability. Stay informed of the latest developments in generative AI and advocate for responsible integration into product ecosystems. Requirements: 5+ years of software engineering experience. Proven experience leading technical architecture for large-scale platforms or services. Solid understanding of software development methodologies and data modelling principles. Deep expertise in Python (or failing that, Java). Strong proficiency in backend development and familiarity with modern AI/LLM tools and frameworks (e.g., LangChain, LangGraph). Strong experience with Kubernetes (EKS) and cloud-native architectures. Proven record of building scalable backend systems and APIs. Experience mentoring engineers and contributing to architectural decisions. Ability to work collaboratively across functions in an Agile or Kanban environment. Nice to have: Experience operationalizing LLMs or building an internal AI platform. Familiarity with observability practices (metrics, logging, alerts). Exposure to knowledge graphs or semantic search systems.Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives and shared parental leave, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Comprehensive Pension Plan Generous vacation entitlement and option for sabbatical leave Maternity, Paternity, Adoption, and Family Care leave Flexible working hours Personal Choice budget Internal communities and networks Various employee discounts Recruitment introduction reward Employee Assistance Program (global) About the business - A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: . Senior Software Engineer II - Data Engineering Elsevier is a global leader in advanced information and decision support for science and healthcare. We believe that by working together with the communities we serve, we can shape human progress to go further, happen faster, and benefit all.We support continuous discovery and uphold the highest standards of content integrity, reliability, and reproducibility so the communities we serve can advance their field of science, healthcare or innovation with confidence. By combining high-quality content with powerful analytics, we transform complexity into clarity and deliver mission-critical insights that help professionals make better decisions when it matters most.We deliver insights that help research institutions, governments, and funders achieve their goals. We help researchers discover and share knowledge, collaborate, and accelerate innovation. We help librarians provide verified, quality information to universities. We help innovators turn knowledge into new products. We help health professionals improve patient care and educators train the next generation of doctors and nurses. Connecting quality content and innovative technologies, we make progress go further and happen faster. And by championing inclusion and sustainability, we ensure progress benefits all.With 9,500 employees, over 2,300 technologists in 5 major tech hubs, and more than 60 locations across the globe, we are committed to supporting the scientific and healthcare communities around the world. We offer a diverse range of opportunities across technology, commercial, business, and early career jobs. If you are looking for a career that inspires progress in science, innovation and health, and allows you to grow every day, find your team at Elsevier.Elsevier is part of RELX Group.Let's shape progress together. Join
12/07/2026
Full time
. About the team: Our team is dedicated to unlocking the rich knowledge embedded within Elsevier's content through our rich data platform; this empowers researchers, clinicians, and innovators worldwide to gain new insights, make informed decisions, and accelerate progress across research, healthcare, and life sciences.As part of this mission, the AI Engineering team is focused on building reusable generative AI capabilities that can be embedded across products and platforms. We create scalable, secure, and production-ready AI services - enabling downstream teams to integrate cutting- edge GenAI features. About the role: We are seeking a Senior Software Engineer II with a passion for generative AI and platform architecture. In this role, you will drive architectural decisions and set engineering standards, and implement robust systems to deliver reusable AI services and components, collaborating closely with cross-functional stakeholders to solve meaningful challenges. You will also contribute to mentoring other engineers and helping evolve our engineering practices. Key responsibilities: Lead architectural design and ensure technical consistency. Design, develop, and maintain generative AI services and reusable components using Python. Define and promote best practices in engineering, including scalability, observability, testing, and CI/CD. Contribute to system designs spanning multiple services and modules, aligning with architectural best practices. Collaborate with product, platform, and research teams to translate AI prototypes into production-ready capabilities. Work within a Kubernetes (EKS) environment to deploy scalable, containerized applications. Lead the resolution of complex technical challenges across distributed systems. Mentor less-senior developers on engineering principles, GenAI patterns, and platform development. Participate in code reviews, architecture sessions, and cross-team initiatives to ensure quality and maintainability. Stay informed of the latest developments in generative AI and advocate for responsible integration into product ecosystems. Requirements: 5+ years of software engineering experience. Proven experience leading technical architecture for large-scale platforms or services. Solid understanding of software development methodologies and data modelling principles. Deep expertise in Python (or failing that, Java). Strong proficiency in backend development and familiarity with modern AI/LLM tools and frameworks (e.g., LangChain, LangGraph). Strong experience with Kubernetes (EKS) and cloud-native architectures. Proven record of building scalable backend systems and APIs. Experience mentoring engineers and contributing to architectural decisions. Ability to work collaboratively across functions in an Agile or Kanban environment. Nice to have: Experience operationalizing LLMs or building an internal AI platform. Familiarity with observability practices (metrics, logging, alerts). Exposure to knowledge graphs or semantic search systems.Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives and shared parental leave, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Comprehensive Pension Plan Generous vacation entitlement and option for sabbatical leave Maternity, Paternity, Adoption, and Family Care leave Flexible working hours Personal Choice budget Internal communities and networks Various employee discounts Recruitment introduction reward Employee Assistance Program (global) About the business - A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: . Senior Software Engineer II - Data Engineering Elsevier is a global leader in advanced information and decision support for science and healthcare. We believe that by working together with the communities we serve, we can shape human progress to go further, happen faster, and benefit all.We support continuous discovery and uphold the highest standards of content integrity, reliability, and reproducibility so the communities we serve can advance their field of science, healthcare or innovation with confidence. By combining high-quality content with powerful analytics, we transform complexity into clarity and deliver mission-critical insights that help professionals make better decisions when it matters most.We deliver insights that help research institutions, governments, and funders achieve their goals. We help researchers discover and share knowledge, collaborate, and accelerate innovation. We help librarians provide verified, quality information to universities. We help innovators turn knowledge into new products. We help health professionals improve patient care and educators train the next generation of doctors and nurses. Connecting quality content and innovative technologies, we make progress go further and happen faster. And by championing inclusion and sustainability, we ensure progress benefits all.With 9,500 employees, over 2,300 technologists in 5 major tech hubs, and more than 60 locations across the globe, we are committed to supporting the scientific and healthcare communities around the world. We offer a diverse range of opportunities across technology, commercial, business, and early career jobs. If you are looking for a career that inspires progress in science, innovation and health, and allows you to grow every day, find your team at Elsevier.Elsevier is part of RELX Group.Let's shape progress together. Join
Software Engineer - AI Platform & Agents
慨正橡扯
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 3+ years of experience in backend software development, building scalable, resilient, and production grade systems Hands on experience developing AI powered applications, including large language models (LLMs), AI agents, retrieval augmented generation, prompt engineering, evaluation frameworks, and model optimization techniques Proven ability to take AI solutions from concept and experimentation through to production deployment, optimizing for performance, reliability, scalability, and cost Strong knowledge of cloud platforms such as AWS, GCP, or Azure, along with containerization and orchestration technologies including Docker, ECS, and Kubernetes Proficiency with databases such as PostgreSQL and MongoDB and caching technologies such as Redis for high performance data storage and retrieval Experience designing and building APIs, distributed systems, and event driven architectures in modern programming languages such as Python, TypeScript, Java, Go, or similar Familiarity with MLOps practices, model monitoring, observability, versioning, and automated deployment pipelines preferred Strong problem solving skills with the ability to navigate ambiguity, experiment rapidly, and deliver impactful solutions that create measurable business value Excellent communication and collaboration skills with demonstrated success working across multidisciplinary teams of engineers, data scientists, and product stakeholders Education Bachelor's degree or higher in Computer Science, Software Engineering, or a related field Responsibilities As a Software Engineer specializing in AI systems, you will help shape the next generation of intelligent applications by building scalable platforms that bring cutting edge AI capabilities into real world production environments. Working at the intersection of software engineering and machine learning, you will design and develop systems that power AI agents, large language model applications, and advanced automation solutions used by teams across the business. You will collaborate closely with engineers, data scientists, and product partners to transform innovative ideas into reliable, secure, and impactful products. Design and build scalable backend platforms, APIs, and services that power AI applications, intelligent automation solutions, and AI agents Develop and deploy advanced LLM powered applications using techniques such as retrieval augmented generation, prompt engineering, evaluation frameworks, and model optimization Create robust data and inference pipelines that support both real time and batch AI workloads at enterprise scale Partner with data scientists and machine learning engineers to integrate emerging AI capabilities into production products and services Build systems that enable AI agents to reason, automate tasks, interact with tools, and solve complex business challenges autonomously Optimize applications for performance, scalability, reliability, and cost efficiency while supporting increasing AI adoption and usage Implement engineering best practices around observability, monitoring, testing, security, and operational excellence Establish and champion MLOps practices including model lifecycle management, prompt versioning, automated evaluation, and continuous improvement Build reusable frameworks, developer tooling, and platform capabilities that accelerate AI innovation across multiple teams Participate in architecture discussions, technical design reviews, and engineering initiatives that influence the future direction of AI products Mentor engineers, share technical expertise, and contribute to a culture of innovation, experimentation, and continuous learning About the Team Our Innovation team is responsible for building next generation internal and external products powered by cutting edge artificial intelligence technologies, including large language models, AI agents, machine learning, and natural language processing. The group is made up of a diverse set of engineers, data scientists, and AI specialists who are passionate about solving complex challenges and turning breakthrough ideas into real world solutions. We operate in agile, highly collaborative squads focused on delivering innovative products that enhance productivity, unlock insights, and create measurable business impact. Collaboration is at the heart of everything we do. Engineers have the opportunity to work across the full AI lifecycle, from experimentation and prototyping through to large scale production deployment. Joining our team means working on some of the most exciting challenges in applied AI, contributing to products used across the organisation, and being part of a culture that values curiosity, innovation, knowledge sharing, and continuous growth. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
12/07/2026
Full time
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 3+ years of experience in backend software development, building scalable, resilient, and production grade systems Hands on experience developing AI powered applications, including large language models (LLMs), AI agents, retrieval augmented generation, prompt engineering, evaluation frameworks, and model optimization techniques Proven ability to take AI solutions from concept and experimentation through to production deployment, optimizing for performance, reliability, scalability, and cost Strong knowledge of cloud platforms such as AWS, GCP, or Azure, along with containerization and orchestration technologies including Docker, ECS, and Kubernetes Proficiency with databases such as PostgreSQL and MongoDB and caching technologies such as Redis for high performance data storage and retrieval Experience designing and building APIs, distributed systems, and event driven architectures in modern programming languages such as Python, TypeScript, Java, Go, or similar Familiarity with MLOps practices, model monitoring, observability, versioning, and automated deployment pipelines preferred Strong problem solving skills with the ability to navigate ambiguity, experiment rapidly, and deliver impactful solutions that create measurable business value Excellent communication and collaboration skills with demonstrated success working across multidisciplinary teams of engineers, data scientists, and product stakeholders Education Bachelor's degree or higher in Computer Science, Software Engineering, or a related field Responsibilities As a Software Engineer specializing in AI systems, you will help shape the next generation of intelligent applications by building scalable platforms that bring cutting edge AI capabilities into real world production environments. Working at the intersection of software engineering and machine learning, you will design and develop systems that power AI agents, large language model applications, and advanced automation solutions used by teams across the business. You will collaborate closely with engineers, data scientists, and product partners to transform innovative ideas into reliable, secure, and impactful products. Design and build scalable backend platforms, APIs, and services that power AI applications, intelligent automation solutions, and AI agents Develop and deploy advanced LLM powered applications using techniques such as retrieval augmented generation, prompt engineering, evaluation frameworks, and model optimization Create robust data and inference pipelines that support both real time and batch AI workloads at enterprise scale Partner with data scientists and machine learning engineers to integrate emerging AI capabilities into production products and services Build systems that enable AI agents to reason, automate tasks, interact with tools, and solve complex business challenges autonomously Optimize applications for performance, scalability, reliability, and cost efficiency while supporting increasing AI adoption and usage Implement engineering best practices around observability, monitoring, testing, security, and operational excellence Establish and champion MLOps practices including model lifecycle management, prompt versioning, automated evaluation, and continuous improvement Build reusable frameworks, developer tooling, and platform capabilities that accelerate AI innovation across multiple teams Participate in architecture discussions, technical design reviews, and engineering initiatives that influence the future direction of AI products Mentor engineers, share technical expertise, and contribute to a culture of innovation, experimentation, and continuous learning About the Team Our Innovation team is responsible for building next generation internal and external products powered by cutting edge artificial intelligence technologies, including large language models, AI agents, machine learning, and natural language processing. The group is made up of a diverse set of engineers, data scientists, and AI specialists who are passionate about solving complex challenges and turning breakthrough ideas into real world solutions. We operate in agile, highly collaborative squads focused on delivering innovative products that enhance productivity, unlock insights, and create measurable business impact. Collaboration is at the heart of everything we do. Engineers have the opportunity to work across the full AI lifecycle, from experimentation and prototyping through to large scale production deployment. Joining our team means working on some of the most exciting challenges in applied AI, contributing to products used across the organisation, and being part of a culture that values curiosity, innovation, knowledge sharing, and continuous growth. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
Software Engineer - AI Platform & Agents
United States Digital Space LLC
At the company, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 3+ years of experience in backend software development, building scalable, resilient, and production-grade systems Hands on experience developing AI powered applications, including large language models (LLMs), AI agents, retrieval augmented generation, prompt engineering, evaluation frameworks, and model optimization techniques Proven ability to take AI solutions from concept and experimentation through to production deployment, optimizing for performance, reliability, scalability, and cost Strong knowledge of cloud platforms such as AWS, GCP, or Azure, along with containerization and orchestration technologies including Docker, ECS, and Kubernetes Proficiency with databases such as PostgreSQL and MongoDB and caching technologies such as Redis for high-performance data storage and retrieval Experience designing and building APIs, distributed systems, and event driven architectures in modern programming languages such as Python, TypeScript, Java, Go, or similar Familiarity with MLOps practices, model monitoring, observability, versioning, and automated deployment pipelines preferred Strong problem solving skills with the ability to navigate ambiguity, experiment rapidly, and deliver impactful solutions that create measurable business value Excellent communication and collaboration skills with demonstrated success working across multidisciplinary teams of engineers, data scientists, and product stakeholders Education Bachelor's degree or higher in Computer Science, Software Engineering, or a related field Responsibilities As a Software Engineer specializing in AI systems, you will help shape the next generation of intelligent applications by building scalable platforms that bring cutting edge AI capabilities into real world production environments. Working at the intersection of software engineering and machine learning, you will design and develop systems that power AI agents, large language model applications, and advanced automation solutions used by teams across the business. You will collaborate closely with engineers, data scientists, and product partners to transform innovative ideas into reliable, secure, and impactful products. Design and build scalable backend platforms, APIs, and services that power AI applications, intelligent automation solutions, and AI agents Develop and deploy advanced LLM powered applications using techniques such as retrieval augmented generation, prompt engineering, evaluation frameworks, and model optimization Create robust data and inference pipelines that support both real time and batch AI workloads at enterprise scale Partner with data scientists and machine learning engineers to integrate emerging AI capabilities into production products and services Build systems that enable AI agents to reason, automate tasks, interact with tools, and solve complex business challenges autonomously Optimize applications for performance, scalability, reliability, and cost efficiency while supporting increasing AI adoption and usage Implement engineering best practices around observability, monitoring, testing, security, and operational excellence Establish and champion MLOps practices including model lifecycle management, prompt versioning, automated evaluation, and continuous improvement Build reusable frameworks, developer tooling, and platform capabilities that accelerate AI innovation across multiple teams Participate in architecture discussions, technical design reviews, and engineering initiatives that influence the future direction of AI products Mentor engineers, share technical expertise, and contribute to a culture of innovation, experimentation, and continuous learning About the Team Our Innovation team is responsible for building next generation internal and external products powered by cutting edge artificial intelligence technologies, including large language models, AI agents, machine learning, and natural language processing. The group is made up of a diverse set of engineers, data scientists, and AI specialists who are passionate about solving complex challenges and turning breakthrough ideas into real world solutions. We operate in agile, highly collaborative squads focused on delivering innovative products that enhance productivity, unlock insights, and create measurable business impact. Collaboration is at the heart of everything we do. Engineers have the opportunity to work across the full AI lifecycle, from experimentation and prototyping through to large scale production deployment. Joining our team means working on some of the most exciting challenges in applied AI, contributing to products used across the organisation, and being part of a culture that values curiosity, innovation, knowledge sharing, and continuous growth. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for the company Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
12/07/2026
Full time
At the company, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 3+ years of experience in backend software development, building scalable, resilient, and production-grade systems Hands on experience developing AI powered applications, including large language models (LLMs), AI agents, retrieval augmented generation, prompt engineering, evaluation frameworks, and model optimization techniques Proven ability to take AI solutions from concept and experimentation through to production deployment, optimizing for performance, reliability, scalability, and cost Strong knowledge of cloud platforms such as AWS, GCP, or Azure, along with containerization and orchestration technologies including Docker, ECS, and Kubernetes Proficiency with databases such as PostgreSQL and MongoDB and caching technologies such as Redis for high-performance data storage and retrieval Experience designing and building APIs, distributed systems, and event driven architectures in modern programming languages such as Python, TypeScript, Java, Go, or similar Familiarity with MLOps practices, model monitoring, observability, versioning, and automated deployment pipelines preferred Strong problem solving skills with the ability to navigate ambiguity, experiment rapidly, and deliver impactful solutions that create measurable business value Excellent communication and collaboration skills with demonstrated success working across multidisciplinary teams of engineers, data scientists, and product stakeholders Education Bachelor's degree or higher in Computer Science, Software Engineering, or a related field Responsibilities As a Software Engineer specializing in AI systems, you will help shape the next generation of intelligent applications by building scalable platforms that bring cutting edge AI capabilities into real world production environments. Working at the intersection of software engineering and machine learning, you will design and develop systems that power AI agents, large language model applications, and advanced automation solutions used by teams across the business. You will collaborate closely with engineers, data scientists, and product partners to transform innovative ideas into reliable, secure, and impactful products. Design and build scalable backend platforms, APIs, and services that power AI applications, intelligent automation solutions, and AI agents Develop and deploy advanced LLM powered applications using techniques such as retrieval augmented generation, prompt engineering, evaluation frameworks, and model optimization Create robust data and inference pipelines that support both real time and batch AI workloads at enterprise scale Partner with data scientists and machine learning engineers to integrate emerging AI capabilities into production products and services Build systems that enable AI agents to reason, automate tasks, interact with tools, and solve complex business challenges autonomously Optimize applications for performance, scalability, reliability, and cost efficiency while supporting increasing AI adoption and usage Implement engineering best practices around observability, monitoring, testing, security, and operational excellence Establish and champion MLOps practices including model lifecycle management, prompt versioning, automated evaluation, and continuous improvement Build reusable frameworks, developer tooling, and platform capabilities that accelerate AI innovation across multiple teams Participate in architecture discussions, technical design reviews, and engineering initiatives that influence the future direction of AI products Mentor engineers, share technical expertise, and contribute to a culture of innovation, experimentation, and continuous learning About the Team Our Innovation team is responsible for building next generation internal and external products powered by cutting edge artificial intelligence technologies, including large language models, AI agents, machine learning, and natural language processing. The group is made up of a diverse set of engineers, data scientists, and AI specialists who are passionate about solving complex challenges and turning breakthrough ideas into real world solutions. We operate in agile, highly collaborative squads focused on delivering innovative products that enhance productivity, unlock insights, and create measurable business impact. Collaboration is at the heart of everything we do. Engineers have the opportunity to work across the full AI lifecycle, from experimentation and prototyping through to large scale production deployment. Joining our team means working on some of the most exciting challenges in applied AI, contributing to products used across the organisation, and being part of a culture that values curiosity, innovation, knowledge sharing, and continuous growth. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for the company Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
MI5
Platform Engineer
MI5
Salary £66,332, with an opportunity to qualify for additional allowances and a skills-related payment under the Government Digital and Data Capability Framework (GDDPCF), formally the (DDaT) Digital, Data and Technology Capability Framework. Flexible Working We offer a range of flexible working options to support a healthy work life balance, including part time arrangements and compressed hours, and flexibility around start and finish times through flexitime. This role is office based and does not offer home working. About Us MI5 keeps the country safe from serious threats like terrorism and attempts by states to harm the UK, its people, and way of life. We carry out investigations by obtaining, analysing, and assessing intelligence, and then work with a range of partners including MI6 and GCHQ, to disrupt these threats. Through our protective security arm, we provide advice and guidance to government, businesses, and other organisations on how to keep themselves safe. A role in MI5 means you'll do unique and challenging work in a supportive and encouraging environment, making a real difference to UK national security. The Role As a Platform Engineer, you'll design, develop and operate platforms that give developers the tools they need to build critical technology that helps keep the country safe. Joining MI5 offers the opportunity to contribute to a growing technology capability while being part of an expanding engineering workforce, helping to enhance platforms and products delivered across the organisation. Day to day, the role involves building developer tooling, managed services, and automation, along with self service solutions. Infrastructure as code is used to ensure consistency and reliability across cloud and on premises environments, enabling teams to move quickly with confidence. A significant part of the role centres on working closely with our product teams, understanding pain points, prioritising what matters most, and shaping solutions that meaningfully improve the developer experience. The outcome is streamlined workflows, reduced friction, and more time for engineers to focus on delivering solutions to meet MI5's outcomes. You'll play a key part in contributing to our engineering community by sharing best practice standards, patterns, and establishing clear and consistent approaches that teams can adopt with confidence. When issues arise, you'll get stuck in, troubleshooting platform problems and improving reliability, usability, and observability, while feeding those insights back into better design. Sharing knowledge across teams will be a big part of the role, as will helping to build a consistent, collaborative engineering culture. You'll also support other engineers, helping them build confidence and develop their skills. We know that platform engineering evolves constantly, and the quality of this role depends on keeping pace with it. As a result, there is a regular protected time to horizon scan, research emerging trends, and pursue training or certifications relevant to your career. About You A natural problem solver, you enjoy tackling complex challenges and turning them into practical solutions. Experience may come from working as a Platform or DevOps Engineer across a range of technologies and customer environments, or from a Software Engineering background with demonstrable experience in solving platform and infrastructure related challenges in current or recent roles. An understanding of the software development lifecycle in an enterprise or commercial environment is essential, alongside familiarity with design patterns and secure coding practices. Working closely with engineers and technologists, this role focuses on understanding challenges and shaping effective platform solutions. Confidence communicating with both technical and non technical audiences is important, particularly when explaining ideas clearly, aligning on priorities, and building trust across teams. You'll be comfortable working independently with a high level of autonomy, making pragmatic decisions and seeing work through from problem to solution. Being proactive in seeking support from senior engineers and leaders when needed, along with a willingness to learn and grow, is also important. Proficiency in at least one modern programming language, such as Node.js, Python, or Java, is expected along with experience in core engineering practices including TDD, CI/CD pipelines, cloud services, and agile methodologies. Familiarity with infrastructure as code tools such as Terraform is also important. Training and Development We're committed to developing our engineers, with a clear career structure designed to enable progression and continuous growth. From day one, you'll be encouraged and supported to shape your development in ways that reflect personal strengths and interests. A dedicated development budget and personal development days are provided, alongside access to a wide range of courses, online platforms, qualifications, and certifications to support your development, covering both technical and soft skills. There are also opportunities to benefit from coaching and mentoring within or outside of your team. Learning is both individual and collective. Up to 20% of working time is available for innovation and personal development, creating a space to explore new ideas, deepen technical expertise, and stay close to emerging technologies. Building on this, there's a comprehensive training and development pathway on offer, which uses the Government Digital and Data Profession Capability Framework (GDDPCF). It includes tailored training, coaching and mentoring, alongside opportunities to gain qualifications and pursue specialist Agile Delivery pathways, if this interests you. Rewards and Benefits You'll receive a starting salary of £66,332, plus other benefits, including: 25 days' of annual leave automatically rising to 30 days after 5 years' service, and an additional 10.5 days of public and privilege holidays opportunities to be recognised through our employee performance scheme a dedicated development budget an interest free season ticket loan a cycle to work scheme facilities such as a subsidised gym, restaurant, and on site coffee bars (at some locations) paid parental and adoption leave Equal Opportunities At MI5 diversity and inclusion are critical to our mission. To protect the UK, we need a truly diverse workforce that reflects the society we serve. This includes diversity in every sense of the word: those with different backgrounds, ages, ethnicities, gender identities, sexual orientations, ways of thinking and those with disabilities or neurodivergent conditions. We therefore welcome and encourage applications from everyone, including those from groups that are underrepresented in our workforce such as women, those from ethnic minority backgrounds, people with disabilities, and those from low socio economic backgrounds. Disability Confident MI5 is proud to have achieved Leader status within the Department for Work and Pension's Disability Confident scheme. This is aimed at encouraging employers to think differently about disability and take action to improve how they recruit, retain and develop disabled people. As a Disability Confident Leader, we aim to ensure that a fair and proportionate number of disabled applicants who best meet the essential minimum criteria for this position, will be offered an interview, if it is practical for us to do so. The minimum criteria are: You must reach the minimum pass mark for the online Situational Judgement Test (SJT), which assesses criteria important for all roles in our organisation. Demonstrate the ability to develop software in at least one common language. Demonstrate an understanding of the principles of modern standards approaches such as continuous integration and delivery, test driven development and cloud services. Demonstrate the ability to provide technical direction and guide and support others with regards to software developing. Eligibility Criteria To work at MI5, you must be a British citizen or hold dual British nationality. This role requires the highest security clearance, known as Developed Vetting (DV). You must also pass the DV vetting process.
10/07/2026
Full time
Salary £66,332, with an opportunity to qualify for additional allowances and a skills-related payment under the Government Digital and Data Capability Framework (GDDPCF), formally the (DDaT) Digital, Data and Technology Capability Framework. Flexible Working We offer a range of flexible working options to support a healthy work life balance, including part time arrangements and compressed hours, and flexibility around start and finish times through flexitime. This role is office based and does not offer home working. About Us MI5 keeps the country safe from serious threats like terrorism and attempts by states to harm the UK, its people, and way of life. We carry out investigations by obtaining, analysing, and assessing intelligence, and then work with a range of partners including MI6 and GCHQ, to disrupt these threats. Through our protective security arm, we provide advice and guidance to government, businesses, and other organisations on how to keep themselves safe. A role in MI5 means you'll do unique and challenging work in a supportive and encouraging environment, making a real difference to UK national security. The Role As a Platform Engineer, you'll design, develop and operate platforms that give developers the tools they need to build critical technology that helps keep the country safe. Joining MI5 offers the opportunity to contribute to a growing technology capability while being part of an expanding engineering workforce, helping to enhance platforms and products delivered across the organisation. Day to day, the role involves building developer tooling, managed services, and automation, along with self service solutions. Infrastructure as code is used to ensure consistency and reliability across cloud and on premises environments, enabling teams to move quickly with confidence. A significant part of the role centres on working closely with our product teams, understanding pain points, prioritising what matters most, and shaping solutions that meaningfully improve the developer experience. The outcome is streamlined workflows, reduced friction, and more time for engineers to focus on delivering solutions to meet MI5's outcomes. You'll play a key part in contributing to our engineering community by sharing best practice standards, patterns, and establishing clear and consistent approaches that teams can adopt with confidence. When issues arise, you'll get stuck in, troubleshooting platform problems and improving reliability, usability, and observability, while feeding those insights back into better design. Sharing knowledge across teams will be a big part of the role, as will helping to build a consistent, collaborative engineering culture. You'll also support other engineers, helping them build confidence and develop their skills. We know that platform engineering evolves constantly, and the quality of this role depends on keeping pace with it. As a result, there is a regular protected time to horizon scan, research emerging trends, and pursue training or certifications relevant to your career. About You A natural problem solver, you enjoy tackling complex challenges and turning them into practical solutions. Experience may come from working as a Platform or DevOps Engineer across a range of technologies and customer environments, or from a Software Engineering background with demonstrable experience in solving platform and infrastructure related challenges in current or recent roles. An understanding of the software development lifecycle in an enterprise or commercial environment is essential, alongside familiarity with design patterns and secure coding practices. Working closely with engineers and technologists, this role focuses on understanding challenges and shaping effective platform solutions. Confidence communicating with both technical and non technical audiences is important, particularly when explaining ideas clearly, aligning on priorities, and building trust across teams. You'll be comfortable working independently with a high level of autonomy, making pragmatic decisions and seeing work through from problem to solution. Being proactive in seeking support from senior engineers and leaders when needed, along with a willingness to learn and grow, is also important. Proficiency in at least one modern programming language, such as Node.js, Python, or Java, is expected along with experience in core engineering practices including TDD, CI/CD pipelines, cloud services, and agile methodologies. Familiarity with infrastructure as code tools such as Terraform is also important. Training and Development We're committed to developing our engineers, with a clear career structure designed to enable progression and continuous growth. From day one, you'll be encouraged and supported to shape your development in ways that reflect personal strengths and interests. A dedicated development budget and personal development days are provided, alongside access to a wide range of courses, online platforms, qualifications, and certifications to support your development, covering both technical and soft skills. There are also opportunities to benefit from coaching and mentoring within or outside of your team. Learning is both individual and collective. Up to 20% of working time is available for innovation and personal development, creating a space to explore new ideas, deepen technical expertise, and stay close to emerging technologies. Building on this, there's a comprehensive training and development pathway on offer, which uses the Government Digital and Data Profession Capability Framework (GDDPCF). It includes tailored training, coaching and mentoring, alongside opportunities to gain qualifications and pursue specialist Agile Delivery pathways, if this interests you. Rewards and Benefits You'll receive a starting salary of £66,332, plus other benefits, including: 25 days' of annual leave automatically rising to 30 days after 5 years' service, and an additional 10.5 days of public and privilege holidays opportunities to be recognised through our employee performance scheme a dedicated development budget an interest free season ticket loan a cycle to work scheme facilities such as a subsidised gym, restaurant, and on site coffee bars (at some locations) paid parental and adoption leave Equal Opportunities At MI5 diversity and inclusion are critical to our mission. To protect the UK, we need a truly diverse workforce that reflects the society we serve. This includes diversity in every sense of the word: those with different backgrounds, ages, ethnicities, gender identities, sexual orientations, ways of thinking and those with disabilities or neurodivergent conditions. We therefore welcome and encourage applications from everyone, including those from groups that are underrepresented in our workforce such as women, those from ethnic minority backgrounds, people with disabilities, and those from low socio economic backgrounds. Disability Confident MI5 is proud to have achieved Leader status within the Department for Work and Pension's Disability Confident scheme. This is aimed at encouraging employers to think differently about disability and take action to improve how they recruit, retain and develop disabled people. As a Disability Confident Leader, we aim to ensure that a fair and proportionate number of disabled applicants who best meet the essential minimum criteria for this position, will be offered an interview, if it is practical for us to do so. The minimum criteria are: You must reach the minimum pass mark for the online Situational Judgement Test (SJT), which assesses criteria important for all roles in our organisation. Demonstrate the ability to develop software in at least one common language. Demonstrate an understanding of the principles of modern standards approaches such as continuous integration and delivery, test driven development and cloud services. Demonstrate the ability to provide technical direction and guide and support others with regards to software developing. Eligibility Criteria To work at MI5, you must be a British citizen or hold dual British nationality. This role requires the highest security clearance, known as Developed Vetting (DV). You must also pass the DV vetting process.
Vice President - Modeling & Quant Analytics (MRG)
PowerToFly
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-for the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies A deep understanding of quantitative finance, modeling, and model validation, coupled with practical experience is required, along with a good understanding of financial products and markets. A deep understanding of AI model risk management, including risks and controls specific to Generative AI and Agentic AI, and their implications for model validation and governance. Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization. The ability to articulate complex ideas fluently and clearly. Proficiency in programming languages such as R, Python, MATLAB, and SQL, with the ability to work within an established code base. Knowledge of C++ programming is preferred. Previous experience in model validation and development, particularly in areas such as credit risk, counterparty credit risk, or market risk is necessary. Candidates should be adept at handling model validation assignments with minimal supervision. 10+ years of experience in model development, validation, and risk analytics is necessary. Build and nurture relationships: Inspire and encourage team members to build strong, collaborative relationships Provide timely feedback and coaching: Offer constructive feedback and coaching to help team members optimize their potential Role model growth mindset: Foster innovation and advance the team's evolution by demonstrating a growth mindset Encourage agile thinking and adaptability within the team Translate strategy into actionable goals: Ensure the team focuses on critical priorities by setting clear, actionable goals Establish a compelling vision: Provide clear direction and a compelling vision for the team to follow Create a culture of trust: Honor commitments and treat everyone with respect to build a culture of trust Highly organized, efficient, and detail oriented, demonstrating a high level of accuracy in their work. Possesses excellent organizational skills, capable of multitasking and prioritizing work effectively within a team environment. The ability to work under tight deadlines, manage time efficiently, and maintain focus is essential. Candidates should be capable of working both independently and collaboratively, with strong English written and spoken communication skills. Education A strong academic background in a quantitative field such as mathematics, artificial intelligence, physics, economics or engineering or a program focused on quantitative discipline is essential, with a preference for candidates holding a post graduate degree. Responsibilities The role involves validating models, scorecards and agents used in the context of credit rating activities across asset classes as well as AI model risk management and development. In addition to solid traditional model validation skills and experience, the successful candidate will provide in-depth knowledge and expertise in Generative & Agentic AI. Execute and lead independent validation reviews of credit rating models, scorecards, including hands on assessment of inputs, assumptions, conceptual soundness, performance, and limitations. Lead AI model risk management activities end to end, including identification, assessment, and mitigation of risks specific to GenAI and agentic AI. Design and deliver complex validation analyses, including model replication, challenger development, sensitivity testing, benchmarking, and ad hoc quantitative investigations. Own validation outputs end to end, from test plan design through clear, concise validation reporting and effective challenge of model developers. Develop AI model risk management capability within MRG, mentoring validators, developing GenAI and Agentic AI expertise, and actively contributing as a subject matter expert across analytical and methodology teams. Drive rigorous execution standards and culture, promoting effective challenge, continuous improvement, and practical application of model risk frameworks and policies. About the team The MRG Quantitative Review team independently reviews and validates quantitative models and scorecards that support credit ratings. It notably assesses whether these tools are conceptually sound, appropriately calibrated, and fit for purpose, and that they operate in line with approved methodologies and governance standards. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
07/07/2026
Full time
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-for the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies A deep understanding of quantitative finance, modeling, and model validation, coupled with practical experience is required, along with a good understanding of financial products and markets. A deep understanding of AI model risk management, including risks and controls specific to Generative AI and Agentic AI, and their implications for model validation and governance. Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization. The ability to articulate complex ideas fluently and clearly. Proficiency in programming languages such as R, Python, MATLAB, and SQL, with the ability to work within an established code base. Knowledge of C++ programming is preferred. Previous experience in model validation and development, particularly in areas such as credit risk, counterparty credit risk, or market risk is necessary. Candidates should be adept at handling model validation assignments with minimal supervision. 10+ years of experience in model development, validation, and risk analytics is necessary. Build and nurture relationships: Inspire and encourage team members to build strong, collaborative relationships Provide timely feedback and coaching: Offer constructive feedback and coaching to help team members optimize their potential Role model growth mindset: Foster innovation and advance the team's evolution by demonstrating a growth mindset Encourage agile thinking and adaptability within the team Translate strategy into actionable goals: Ensure the team focuses on critical priorities by setting clear, actionable goals Establish a compelling vision: Provide clear direction and a compelling vision for the team to follow Create a culture of trust: Honor commitments and treat everyone with respect to build a culture of trust Highly organized, efficient, and detail oriented, demonstrating a high level of accuracy in their work. Possesses excellent organizational skills, capable of multitasking and prioritizing work effectively within a team environment. The ability to work under tight deadlines, manage time efficiently, and maintain focus is essential. Candidates should be capable of working both independently and collaboratively, with strong English written and spoken communication skills. Education A strong academic background in a quantitative field such as mathematics, artificial intelligence, physics, economics or engineering or a program focused on quantitative discipline is essential, with a preference for candidates holding a post graduate degree. Responsibilities The role involves validating models, scorecards and agents used in the context of credit rating activities across asset classes as well as AI model risk management and development. In addition to solid traditional model validation skills and experience, the successful candidate will provide in-depth knowledge and expertise in Generative & Agentic AI. Execute and lead independent validation reviews of credit rating models, scorecards, including hands on assessment of inputs, assumptions, conceptual soundness, performance, and limitations. Lead AI model risk management activities end to end, including identification, assessment, and mitigation of risks specific to GenAI and agentic AI. Design and deliver complex validation analyses, including model replication, challenger development, sensitivity testing, benchmarking, and ad hoc quantitative investigations. Own validation outputs end to end, from test plan design through clear, concise validation reporting and effective challenge of model developers. Develop AI model risk management capability within MRG, mentoring validators, developing GenAI and Agentic AI expertise, and actively contributing as a subject matter expert across analytical and methodology teams. Drive rigorous execution standards and culture, promoting effective challenge, continuous improvement, and practical application of model risk frameworks and policies. About the team The MRG Quantitative Review team independently reviews and validates quantitative models and scorecards that support credit ratings. It notably assesses whether these tools are conceptually sound, appropriately calibrated, and fit for purpose, and that they operate in line with approved methodologies and governance standards. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
VP, Quant Analytics & AI Risk Modeling
PowerToFly
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-for the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies A deep understanding of quantitative finance, modeling, and model validation, coupled with practical experience is required, along with a good understanding of financial products and markets. A deep understanding of AI model risk management, including risks and controls specific to Generative AI and Agentic AI, and their implications for model validation and governance. Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization. The ability to articulate complex ideas fluently and clearly. Proficiency in programming languages such as R, Python, MATLAB, and SQL, with the ability to work within an established code base. Knowledge of C++ programming is preferred. Previous experience in model validation and development, particularly in areas such as credit risk, counterparty credit risk, or market risk is necessary. Candidates should be adept at handling model validation assignments with minimal supervision. 10+ years of experience in model development, validation, and risk analytics is necessary. Build and nurture relationships: Inspire and encourage team members to build strong, collaborative relationships Provide timely feedback and coaching: Offer constructive feedback and coaching to help team members optimize their potential Role model growth mindset: Foster innovation and advance the team's evolution by demonstrating a growth mindset Encourage agile thinking and adaptability within the team Translate strategy into actionable goals: Ensure the team focuses on critical priorities by setting clear, actionable goals Establish a compelling vision: Provide clear direction and a compelling vision for the team to follow Create a culture of trust: Honor commitments and treat everyone with respect to build a culture of trust Highly organized, efficient, and detail oriented, demonstrating a high level of accuracy in their work. Possesses excellent organizational skills, capable of multitasking and prioritizing work effectively within a team environment. The ability to work under tight deadlines, manage time efficiently, and maintain focus is essential. Candidates should be capable of working both independently and collaboratively, with strong English written and spoken communication skills. Education A strong academic background in a quantitative field such as mathematics, artificial intelligence, physics, economics or engineering or a program focused on quantitative discipline is essential, with a preference for candidates holding a post graduate degree. Responsibilities The role involves validating models, scorecards and agents used in the context of credit rating activities across asset classes as well as AI model risk management and development. In addition to solid traditional model validation skills and experience, the successful candidate will provide in-depth knowledge and expertise in Generative & Agentic AI. Execute and lead independent validation reviews of credit rating models, scorecards, including hands on assessment of inputs, assumptions, conceptual soundness, performance, and limitations. Lead AI model risk management activities end to end, including identification, assessment, and mitigation of risks specific to GenAI and agentic AI. Design and deliver complex validation analyses, including model replication, challenger development, sensitivity testing, benchmarking, and ad hoc quantitative investigations. Own validation outputs end to end, from test plan design through clear, concise validation reporting and effective challenge of model developers. Develop AI model risk management capability within MRG, mentoring validators, developing GenAI and Agentic AI expertise, and actively contributing as a subject matter expert across analytical and methodology teams. Drive rigorous execution standards and culture, promoting effective challenge, continuous improvement, and practical application of model risk frameworks and policies. About the team The MRG Quantitative Review team independently reviews and validates quantitative models and scorecards that support credit ratings. It notably assesses whether these tools are conceptually sound, appropriately calibrated, and fit for purpose, and that they operate in line with approved methodologies and governance standards. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
07/07/2026
Full time
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-for the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies A deep understanding of quantitative finance, modeling, and model validation, coupled with practical experience is required, along with a good understanding of financial products and markets. A deep understanding of AI model risk management, including risks and controls specific to Generative AI and Agentic AI, and their implications for model validation and governance. Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization. The ability to articulate complex ideas fluently and clearly. Proficiency in programming languages such as R, Python, MATLAB, and SQL, with the ability to work within an established code base. Knowledge of C++ programming is preferred. Previous experience in model validation and development, particularly in areas such as credit risk, counterparty credit risk, or market risk is necessary. Candidates should be adept at handling model validation assignments with minimal supervision. 10+ years of experience in model development, validation, and risk analytics is necessary. Build and nurture relationships: Inspire and encourage team members to build strong, collaborative relationships Provide timely feedback and coaching: Offer constructive feedback and coaching to help team members optimize their potential Role model growth mindset: Foster innovation and advance the team's evolution by demonstrating a growth mindset Encourage agile thinking and adaptability within the team Translate strategy into actionable goals: Ensure the team focuses on critical priorities by setting clear, actionable goals Establish a compelling vision: Provide clear direction and a compelling vision for the team to follow Create a culture of trust: Honor commitments and treat everyone with respect to build a culture of trust Highly organized, efficient, and detail oriented, demonstrating a high level of accuracy in their work. Possesses excellent organizational skills, capable of multitasking and prioritizing work effectively within a team environment. The ability to work under tight deadlines, manage time efficiently, and maintain focus is essential. Candidates should be capable of working both independently and collaboratively, with strong English written and spoken communication skills. Education A strong academic background in a quantitative field such as mathematics, artificial intelligence, physics, economics or engineering or a program focused on quantitative discipline is essential, with a preference for candidates holding a post graduate degree. Responsibilities The role involves validating models, scorecards and agents used in the context of credit rating activities across asset classes as well as AI model risk management and development. In addition to solid traditional model validation skills and experience, the successful candidate will provide in-depth knowledge and expertise in Generative & Agentic AI. Execute and lead independent validation reviews of credit rating models, scorecards, including hands on assessment of inputs, assumptions, conceptual soundness, performance, and limitations. Lead AI model risk management activities end to end, including identification, assessment, and mitigation of risks specific to GenAI and agentic AI. Design and deliver complex validation analyses, including model replication, challenger development, sensitivity testing, benchmarking, and ad hoc quantitative investigations. Own validation outputs end to end, from test plan design through clear, concise validation reporting and effective challenge of model developers. Develop AI model risk management capability within MRG, mentoring validators, developing GenAI and Agentic AI expertise, and actively contributing as a subject matter expert across analytical and methodology teams. Drive rigorous execution standards and culture, promoting effective challenge, continuous improvement, and practical application of model risk frameworks and policies. About the team The MRG Quantitative Review team independently reviews and validates quantitative models and scorecards that support credit ratings. It notably assesses whether these tools are conceptually sound, appropriately calibrated, and fit for purpose, and that they operate in line with approved methodologies and governance standards. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
Outcome Customer Engineer, Google Cloud Platform Delivery
United States Digital Space LLC
Minimum qualifications: Bachelor's degree or equivalent practical experience. 10 years of experience with cloud native architecture in a customer-facing or support role. Experience in one or more core areas: infrastructure modernization, Cloud runtimes (GKE/Cloud run), databases, or networking and security. Experience with cloud infrastructure or application modernization in a delivery role and deployment planning, orchestration, or change management. Experience in programming languages, debugging, or systems design. Ability to obtain a Security Check (SC) UK security clearance. Preferred qualifications: Experience with Infrastructure as Code (Terraform) and CI/CD pipelines, and in programming languages (Python, Go) for automation. Experience with SRE principles, incident response protocols, lean/agile methodologies to manage delivery flow and eliminate waste. Experience guiding Global Systems Integrators (GSIs) or partners through technical implementations and enforcing quality standards. Familiarity with the company Cloud Foundation Toolkit (CFT) or similar standardized deployment libraries. Ability to act as a player coach, upskilling customer teams through code walkthroughs and technical workshops. Ability to navigate ambiguity, facilitate technical workshops, and guide customers through the organizational change to adopt a new cloud-powered business process. About the job As a the company Cloud Platform (GCP) Outcome Customer Engineer (OCE), you will drive initial and ongoing business generation ramp for our customers, clearing blockers and ensuring they get the maximum benefit from their investment faster. You will manage and execute the deployment plan, transitioning scoped workloads into production by providing technical leadership to customers and partners. You will have a direct impact on the velocity and incremental consumption of customer workloads, leading to accelerated value realization, higher adoption, and future expansion opportunities. You will blend sales expertise, market knowledge, direct technical engagement, and technical project management to prove the value of the the company Cloud portfolio. the company Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage the company's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to the company Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Develop and orchestrate a structured, end-to-end deployment plan across customer and partner teams, onboarding the implementation team, clearing blockers, managing timelines and progress, and ensuring readiness (e.g., capacity, training). Employ skills such as coding, debugging, or systems design to resolve technical blockers and accelerate deployment. Drive and track progress of the initial and ongoing ramp of workloads, moving customers from agreement to consumption as quickly as possible. Identify expansion opportunities for new workloads within the account during project execution. Drive sustainable product usage to help customers realize value on an ongoing basis and secure future contract renewals. the company is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also the company's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
07/07/2026
Full time
Minimum qualifications: Bachelor's degree or equivalent practical experience. 10 years of experience with cloud native architecture in a customer-facing or support role. Experience in one or more core areas: infrastructure modernization, Cloud runtimes (GKE/Cloud run), databases, or networking and security. Experience with cloud infrastructure or application modernization in a delivery role and deployment planning, orchestration, or change management. Experience in programming languages, debugging, or systems design. Ability to obtain a Security Check (SC) UK security clearance. Preferred qualifications: Experience with Infrastructure as Code (Terraform) and CI/CD pipelines, and in programming languages (Python, Go) for automation. Experience with SRE principles, incident response protocols, lean/agile methodologies to manage delivery flow and eliminate waste. Experience guiding Global Systems Integrators (GSIs) or partners through technical implementations and enforcing quality standards. Familiarity with the company Cloud Foundation Toolkit (CFT) or similar standardized deployment libraries. Ability to act as a player coach, upskilling customer teams through code walkthroughs and technical workshops. Ability to navigate ambiguity, facilitate technical workshops, and guide customers through the organizational change to adopt a new cloud-powered business process. About the job As a the company Cloud Platform (GCP) Outcome Customer Engineer (OCE), you will drive initial and ongoing business generation ramp for our customers, clearing blockers and ensuring they get the maximum benefit from their investment faster. You will manage and execute the deployment plan, transitioning scoped workloads into production by providing technical leadership to customers and partners. You will have a direct impact on the velocity and incremental consumption of customer workloads, leading to accelerated value realization, higher adoption, and future expansion opportunities. You will blend sales expertise, market knowledge, direct technical engagement, and technical project management to prove the value of the the company Cloud portfolio. the company Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage the company's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to the company Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Develop and orchestrate a structured, end-to-end deployment plan across customer and partner teams, onboarding the implementation team, clearing blockers, managing timelines and progress, and ensuring readiness (e.g., capacity, training). Employ skills such as coding, debugging, or systems design to resolve technical blockers and accelerate deployment. Drive and track progress of the initial and ongoing ramp of workloads, moving customers from agreement to consumption as quickly as possible. Identify expansion opportunities for new workloads within the account during project execution. Drive sustainable product usage to help customers realize value on an ongoing basis and secure future contract renewals. the company is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also the company's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Vice President - Modeling & Quant Analytics (MRG)
Moody
Let's begin! Vice President - Modeling & Quant Analytics (MRG) (13351) At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies A deep understanding of quantitative finance, modeling, and model validation, coupled with practical experience is required, along with a good understanding of financial products and markets. A deep understanding of AI model risk management, including risks and controls specific to Generative AI and Agentic AI, and their implications for model validation and governance. Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization. The ability to articulate complex ideas fluently and clearly. Proficiency in programming languages such as R, Python, MATLAB, and SQL, with the ability to work within an established code base. Knowledge of C++ programming is preferred. Previous experience in model validation and development, particularly in areas such as credit risk, counterparty credit risk, or market risk is necessary. Candidates should be adept at handling model validation assignments with minimal supervision. 10+ years of experience in model development, validation, and risk analytics is necessary. Build and nurture relationships: Inspire and encourage team members to build strong, collaborative relationships Provide timely feedback and coaching: Offer constructive feedback and coaching to help team members optimize their potential Role model growth mindset: Foster innovation and advance the team's evolution by demonstrating a growth mindset Encourage agile thinking and adaptability within the team Translate strategy into actionable goals: Ensure the team focuses on critical priorities by setting clear, actionable goals Establish a compelling vision: Provide clear direction and a compelling vision for the team to follow Create a culture of trust: Honor commitments and treat everyone with respect to build a culture of trust Highly organized, efficient, and detail oriented, demonstrating a high level of accuracy in their work. Possesses excellent organizational skills, capable of multitasking and prioritizing work effectively within a team environment. The ability to work under tight deadlines, manage time efficiently, and maintain focus is essential. Candidates should be capable of working both independently and collaboratively, with strong English written and spoken communication skills. Education A strong academic background in a quantitative field such as mathematics, artificial intelligence, physics, economics or engineering or a program focused on quantitative discipline is essential, with a preference for candidates holding a post graduate degree. Responsibilities The role involves validating models, scorecards and agents used in the context of credit rating activities across asset classes as well as AI model risk management and development. In addition to solid traditional model validation skills and experience, the successful candidate will provide in depth knowledge and expertise in Generative & Agentic AI. Execute and lead independent validation reviews of credit rating models, scorecards, including hands on assessment of inputs, assumptions, conceptual soundness, performance, and limitations. Lead AI model risk management activities end to end, including identification, assessment, and mitigation of risks specific to GenAI and agentic AI. Design and deliver complex validation analyses, including model replication, challenger development, sensitivity testing, benchmarking, and ad hoc quantitative investigations. Own validation outputs end to end, from test plan design through clear, concise validation reporting and effective challenge of model developers. Develop AI model risk management capability within MRG, mentoring validators, developing GenAI and Agentic AI expertise, and actively contributing as a subject matter expert across analytical and methodology teams. Drive rigorous execution standards and culture, promoting effective challenge, continuous improvement, and practical application of model risk frameworks and policies. About the team The MRG Quantitative Review team independently reviews and validates quantitative models and scorecards that support credit ratings. It notably assesses whether these tools are conceptually sound, appropriately calibrated, and fit for purpose, and that they operate in line with approved methodologies and governance standards. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
07/07/2026
Full time
Let's begin! Vice President - Modeling & Quant Analytics (MRG) (13351) At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies A deep understanding of quantitative finance, modeling, and model validation, coupled with practical experience is required, along with a good understanding of financial products and markets. A deep understanding of AI model risk management, including risks and controls specific to Generative AI and Agentic AI, and their implications for model validation and governance. Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization. The ability to articulate complex ideas fluently and clearly. Proficiency in programming languages such as R, Python, MATLAB, and SQL, with the ability to work within an established code base. Knowledge of C++ programming is preferred. Previous experience in model validation and development, particularly in areas such as credit risk, counterparty credit risk, or market risk is necessary. Candidates should be adept at handling model validation assignments with minimal supervision. 10+ years of experience in model development, validation, and risk analytics is necessary. Build and nurture relationships: Inspire and encourage team members to build strong, collaborative relationships Provide timely feedback and coaching: Offer constructive feedback and coaching to help team members optimize their potential Role model growth mindset: Foster innovation and advance the team's evolution by demonstrating a growth mindset Encourage agile thinking and adaptability within the team Translate strategy into actionable goals: Ensure the team focuses on critical priorities by setting clear, actionable goals Establish a compelling vision: Provide clear direction and a compelling vision for the team to follow Create a culture of trust: Honor commitments and treat everyone with respect to build a culture of trust Highly organized, efficient, and detail oriented, demonstrating a high level of accuracy in their work. Possesses excellent organizational skills, capable of multitasking and prioritizing work effectively within a team environment. The ability to work under tight deadlines, manage time efficiently, and maintain focus is essential. Candidates should be capable of working both independently and collaboratively, with strong English written and spoken communication skills. Education A strong academic background in a quantitative field such as mathematics, artificial intelligence, physics, economics or engineering or a program focused on quantitative discipline is essential, with a preference for candidates holding a post graduate degree. Responsibilities The role involves validating models, scorecards and agents used in the context of credit rating activities across asset classes as well as AI model risk management and development. In addition to solid traditional model validation skills and experience, the successful candidate will provide in depth knowledge and expertise in Generative & Agentic AI. Execute and lead independent validation reviews of credit rating models, scorecards, including hands on assessment of inputs, assumptions, conceptual soundness, performance, and limitations. Lead AI model risk management activities end to end, including identification, assessment, and mitigation of risks specific to GenAI and agentic AI. Design and deliver complex validation analyses, including model replication, challenger development, sensitivity testing, benchmarking, and ad hoc quantitative investigations. Own validation outputs end to end, from test plan design through clear, concise validation reporting and effective challenge of model developers. Develop AI model risk management capability within MRG, mentoring validators, developing GenAI and Agentic AI expertise, and actively contributing as a subject matter expert across analytical and methodology teams. Drive rigorous execution standards and culture, promoting effective challenge, continuous improvement, and practical application of model risk frameworks and policies. About the team The MRG Quantitative Review team independently reviews and validates quantitative models and scorecards that support credit ratings. It notably assesses whether these tools are conceptually sound, appropriately calibrated, and fit for purpose, and that they operate in line with approved methodologies and governance standards. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
Full Stack Engineer
EXL
Job Role Application Development-Full Stack Developer Experience (In Years) 6-9 Job Location London Job Description EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world's leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 60,000 employees spanning six continents. For more information, visit . Role Title: Full Stack Engineer BU/Segment: Insurance Analytics & AI Location: London, United Kingdom (Flexible hybrid working) Employment Type: Permanent Summary of the role: We are seeking a highly capable and experienced technology professional with strong expertise across application development, data architecture, infrastructure, and solution delivery. The ideal candidate will bring a deep understanding of modern enterprise technology ecosystems spanning .NET/.NET Core, Python, data platforms, cloud and on prem infrastructure, SDLC/DevOps practices, along with a sound understanding of the insurance industry. This role requires a hands on, solution oriented individual who can work in fast paced environments and contribute to the design and delivery of scalable, robust, and agile technology solutions. As part of your duties, you will be responsible for: Design, develop, and support enterprise grade applications using .NET, .NET Core, and Python, ensuring scalability, maintainability, and performance. Define and implement robust application architecture patterns aligned with business, security, and operational requirements. Lead the design of modern data architectures, including relational databases, NoSQL/document stores, star schemas, data lakes, and streaming data pipelines. Translate business and technical requirements into end to end solution designs that integrate application, data, and infrastructure components effectively. Provide guidance on infrastructure topologies for both on premises and cloud based environments, including virtual machines, containers, Kubernetes/AKS, and Azure native services. Drive adoption of strong SDLC and DevOps practices, including CI/CD, code quality controls, release automation, environment management, and agile delivery methodologies. Collaborate with cross functional teams including business stakeholders, architects, developers, data engineers, and operations teams to deliver high quality technology solutions. Ensure solutions are designed with appropriate focus on resilience, scalability, security, and operational efficiency. Troubleshoot complex technical issues across application, data, and infrastructure layers, and provide practical resolution approaches. Work effectively in high pressure environments, managing multiple priorities while maintaining delivery quality and timeliness. Leverage industry knowledge to align technology solutions with insurance domain requirements, processes, and business objectives. Qualifications and experience we consider to be essential for the role: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Strong hands on experience in application development using .NET, .NET Core, and Python with 6-10 years of industry experience Deep knowledge of data technologies and architectures, including: Relational databases Document oriented / NoSQL databases Dimensional modeling / star schemas Data lakes Streaming and event driven data architectures Strong understanding of infrastructure design and deployment topologies across both on premises and cloud environments. Experience working with virtual machines, containerized platforms, Kubernetes/AKS, and Microsoft Azure services. Skills and Personal attributes we would like to have: Sound knowledge of Software Development Life Cycle (SDLC) and modern DevOps practices, including agile delivery, CI/CD pipelines, automated deployments, and version control. Ability to design and build fast, agile, and robust enterprise solutions with a strong engineering mindset. Demonstrated ability to work effectively under pressure in demanding delivery environments. Good understanding of the insurance industry, including domain processes, systems, and business context. Strong analytical, problem solving, and communication skills with the ability to engage both technical and business stakeholders. As part of a leading global Data and AI company, you can look forward to: A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual salary, income protection insurance, and a rewarding pension. EXL provides everyday financial well being solutions, such as cash back cards, in which you can earn cashback while enjoying discounts, promotions, and offers from top retailers. We also offer a Cycle Scheme where you can save money on bikes and cycling accessories. At EXL, we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity to enhance their skills and stay up to date with the latest trends and technologies. As an Equal Opportunity Employer, EXL is committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status. EXL employees are eligible to purchase stock as part of our Employee Stock Purchase Plan (ESPP). At EXL, we offer a flexible hybrid working model that allows employees to live a balanced, healthy lifestyle while strengthening our culture of collaboration. To be considered for this role, you must already be eligible to work in the United Kingdom.
06/07/2026
Full time
Job Role Application Development-Full Stack Developer Experience (In Years) 6-9 Job Location London Job Description EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world's leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 60,000 employees spanning six continents. For more information, visit . Role Title: Full Stack Engineer BU/Segment: Insurance Analytics & AI Location: London, United Kingdom (Flexible hybrid working) Employment Type: Permanent Summary of the role: We are seeking a highly capable and experienced technology professional with strong expertise across application development, data architecture, infrastructure, and solution delivery. The ideal candidate will bring a deep understanding of modern enterprise technology ecosystems spanning .NET/.NET Core, Python, data platforms, cloud and on prem infrastructure, SDLC/DevOps practices, along with a sound understanding of the insurance industry. This role requires a hands on, solution oriented individual who can work in fast paced environments and contribute to the design and delivery of scalable, robust, and agile technology solutions. As part of your duties, you will be responsible for: Design, develop, and support enterprise grade applications using .NET, .NET Core, and Python, ensuring scalability, maintainability, and performance. Define and implement robust application architecture patterns aligned with business, security, and operational requirements. Lead the design of modern data architectures, including relational databases, NoSQL/document stores, star schemas, data lakes, and streaming data pipelines. Translate business and technical requirements into end to end solution designs that integrate application, data, and infrastructure components effectively. Provide guidance on infrastructure topologies for both on premises and cloud based environments, including virtual machines, containers, Kubernetes/AKS, and Azure native services. Drive adoption of strong SDLC and DevOps practices, including CI/CD, code quality controls, release automation, environment management, and agile delivery methodologies. Collaborate with cross functional teams including business stakeholders, architects, developers, data engineers, and operations teams to deliver high quality technology solutions. Ensure solutions are designed with appropriate focus on resilience, scalability, security, and operational efficiency. Troubleshoot complex technical issues across application, data, and infrastructure layers, and provide practical resolution approaches. Work effectively in high pressure environments, managing multiple priorities while maintaining delivery quality and timeliness. Leverage industry knowledge to align technology solutions with insurance domain requirements, processes, and business objectives. Qualifications and experience we consider to be essential for the role: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Strong hands on experience in application development using .NET, .NET Core, and Python with 6-10 years of industry experience Deep knowledge of data technologies and architectures, including: Relational databases Document oriented / NoSQL databases Dimensional modeling / star schemas Data lakes Streaming and event driven data architectures Strong understanding of infrastructure design and deployment topologies across both on premises and cloud environments. Experience working with virtual machines, containerized platforms, Kubernetes/AKS, and Microsoft Azure services. Skills and Personal attributes we would like to have: Sound knowledge of Software Development Life Cycle (SDLC) and modern DevOps practices, including agile delivery, CI/CD pipelines, automated deployments, and version control. Ability to design and build fast, agile, and robust enterprise solutions with a strong engineering mindset. Demonstrated ability to work effectively under pressure in demanding delivery environments. Good understanding of the insurance industry, including domain processes, systems, and business context. Strong analytical, problem solving, and communication skills with the ability to engage both technical and business stakeholders. As part of a leading global Data and AI company, you can look forward to: A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual salary, income protection insurance, and a rewarding pension. EXL provides everyday financial well being solutions, such as cash back cards, in which you can earn cashback while enjoying discounts, promotions, and offers from top retailers. We also offer a Cycle Scheme where you can save money on bikes and cycling accessories. At EXL, we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity to enhance their skills and stay up to date with the latest trends and technologies. As an Equal Opportunity Employer, EXL is committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status. EXL employees are eligible to purchase stock as part of our Employee Stock Purchase Plan (ESPP). At EXL, we offer a flexible hybrid working model that allows employees to live a balanced, healthy lifestyle while strengthening our culture of collaboration. To be considered for this role, you must already be eligible to work in the United Kingdom.
Senior Automation Test Engineer - eSC or eDV Clearance Required
IBM Computing
Introduction At IBM Consulting UK FutureNow, you'll build a career at the forefront of hybrid cloud and AI, working with leading clients across the public and private sectors. You'll collaborate with top industry professionals, gain hands on experience with cutting edge technologies, and deliver solutions that create real business impact. From day one, you'll work on meaningful, high profile programmes that stretch your skills and accelerate your growth. We invest heavily in you-supporting continuous learning, in demand skills development, and long term career progression. You'll thrive in a flexible, inclusive environment that values curiosity, encourages reinvention, and recognises what makes you unique. Benefits Tools and policies to support your work life balance: flexible working approaches, sabbatical programmes, paid paternity leave, maternity leave, and an innovative maternity returners scheme. More traditional benefits: 25 days holiday (in addition to public holidays), private medical, dental & optical cover, online shopping discounts, an Employee Assistance Programme, life assurance and a group pension plan through salary sacrifice. Your role and responsibilities We are looking for a Senior Automation Test Engineer to join IBM, supporting our public sector and defence clients. In this role, you will help deliver reliable and efficient automated testing solutions for a range of applications. You will design and develop automated test scripts, support CI/CD integration, and collaborate closely with developers and DevOps teams to enhance product quality and accelerate delivery. You will work with modern automation tools and programming languages to build automated UI, API, and integration tests. If you enjoy solving problems, reducing manual effort through automation, and improving delivery pipelines, we would be interested in hearing from you. Key Responsibilities Design, develop, and maintain automated test suites for functional, regression, integration, performance, and API testing. Build automation frameworks using industry standard tools and modern programming languages. Develop optimized and efficient test scenarios aligned to acceptance criteria, ensuring strong test coverage. Automate test environment setup, test execution, test data management, and environment validation. Integrate automated tests into CI/CD pipelines and work with DevOps to support continuous testing. Contribute to quality engineering practices within Agile, DevOps, and container based delivery models. Monitor automated test execution, troubleshoot issues, and provide clear insights to development teams. Collaborate with cross functional teams to improve product quality, identify risks, and promote automation best practices. Participate in requirement analysis, sprint planning, and backlog refinement to embed quality from the outset. Encourage and support adoption of automation tools, frameworks, and best practices across teams. Ensure best practices are followed across SCRUM teams, including test estimation, test coverage, test traceability, defect management, test evidencing, and test closure. Required technical and professional expertise Experience with programming and automation tools such as Java, Python, REST Assured, Selenium Grid, Serenity Jenkins, Maven, and Postman and ability to understand design to define comprehensive test scenarios. Ability to maintain detailed documentation of the test framework, tests, test outcomes, and defects. Experience developing and maintaining automation frameworks for API integration and UI based products, and designing, creating and maintaining automated test scripts. Deep understanding of software testing principles and experience in an event driven architecture, with strong analytical skills and the ability to think strategically about test automation. Strong communication, collaboration, and problem solving abilities. Preferred technical and professional experience ISTQB Test Automation Engineer ISTQB Advanced Level Test Automation Engineer Certified Selenium Tester Foundation iSQI Certified Agile Tester (CAT) with automation focus CP SAT (Certified Professional - Selenium Automation Testing) CSTE (Certified Software Test Engineer) CAST (Certified Associate in Software Testing) IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
05/07/2026
Full time
Introduction At IBM Consulting UK FutureNow, you'll build a career at the forefront of hybrid cloud and AI, working with leading clients across the public and private sectors. You'll collaborate with top industry professionals, gain hands on experience with cutting edge technologies, and deliver solutions that create real business impact. From day one, you'll work on meaningful, high profile programmes that stretch your skills and accelerate your growth. We invest heavily in you-supporting continuous learning, in demand skills development, and long term career progression. You'll thrive in a flexible, inclusive environment that values curiosity, encourages reinvention, and recognises what makes you unique. Benefits Tools and policies to support your work life balance: flexible working approaches, sabbatical programmes, paid paternity leave, maternity leave, and an innovative maternity returners scheme. More traditional benefits: 25 days holiday (in addition to public holidays), private medical, dental & optical cover, online shopping discounts, an Employee Assistance Programme, life assurance and a group pension plan through salary sacrifice. Your role and responsibilities We are looking for a Senior Automation Test Engineer to join IBM, supporting our public sector and defence clients. In this role, you will help deliver reliable and efficient automated testing solutions for a range of applications. You will design and develop automated test scripts, support CI/CD integration, and collaborate closely with developers and DevOps teams to enhance product quality and accelerate delivery. You will work with modern automation tools and programming languages to build automated UI, API, and integration tests. If you enjoy solving problems, reducing manual effort through automation, and improving delivery pipelines, we would be interested in hearing from you. Key Responsibilities Design, develop, and maintain automated test suites for functional, regression, integration, performance, and API testing. Build automation frameworks using industry standard tools and modern programming languages. Develop optimized and efficient test scenarios aligned to acceptance criteria, ensuring strong test coverage. Automate test environment setup, test execution, test data management, and environment validation. Integrate automated tests into CI/CD pipelines and work with DevOps to support continuous testing. Contribute to quality engineering practices within Agile, DevOps, and container based delivery models. Monitor automated test execution, troubleshoot issues, and provide clear insights to development teams. Collaborate with cross functional teams to improve product quality, identify risks, and promote automation best practices. Participate in requirement analysis, sprint planning, and backlog refinement to embed quality from the outset. Encourage and support adoption of automation tools, frameworks, and best practices across teams. Ensure best practices are followed across SCRUM teams, including test estimation, test coverage, test traceability, defect management, test evidencing, and test closure. Required technical and professional expertise Experience with programming and automation tools such as Java, Python, REST Assured, Selenium Grid, Serenity Jenkins, Maven, and Postman and ability to understand design to define comprehensive test scenarios. Ability to maintain detailed documentation of the test framework, tests, test outcomes, and defects. Experience developing and maintaining automation frameworks for API integration and UI based products, and designing, creating and maintaining automated test scripts. Deep understanding of software testing principles and experience in an event driven architecture, with strong analytical skills and the ability to think strategically about test automation. Strong communication, collaboration, and problem solving abilities. Preferred technical and professional experience ISTQB Test Automation Engineer ISTQB Advanced Level Test Automation Engineer Certified Selenium Tester Foundation iSQI Certified Agile Tester (CAT) with automation focus CP SAT (Certified Professional - Selenium Automation Testing) CSTE (Certified Software Test Engineer) CAST (Certified Associate in Software Testing) IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

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