Devitechs is seeking a skilled professional to implement and manage pipelines for deploying AI/ML models to production in the United Kingdom. The ideal candidate will optimize models for performance and work closely with data scientists and engineers to ensure seamless integration. Requirements include strong experience with Docker and Kubernetes, proficiency in Python, and familiarity with cloud platforms like AWS, Azure, or Google Cloud.
29/07/2026
Full time
Devitechs is seeking a skilled professional to implement and manage pipelines for deploying AI/ML models to production in the United Kingdom. The ideal candidate will optimize models for performance and work closely with data scientists and engineers to ensure seamless integration. Requirements include strong experience with Docker and Kubernetes, proficiency in Python, and familiarity with cloud platforms like AWS, Azure, or Google Cloud.
Define and design machine learning solutions using AI tools, managed services, and intelligent platforms without requiring direct model coding. Identify business problems, operational challenges, and strategic objectives, mapping them to appropriate AI and machine learning use cases. Utilize pre-built AI models, AutoML solutions, and no-code/low-code platforms to develop effective and scalable machine learning applications. Evaluate model outputs, prediction accuracy, and overall performance using dashboards, reports, and AI monitoring metrics. Collaborate with data scientists, engineers, business analysts, and stakeholders to guide machine learning development and deployment initiatives. Select appropriate datasets and ensure data quality, relevance, completeness, and consistency for AI-driven applications. Apply data labeling techniques, augmentation strategies, and model optimization processes through AI-powered tools and platforms. Monitor deployed AI and machine learning systems, analyzing performance trends and recommending improvements or retraining activities. Ensure ethical and responsible AI usage by promoting fairness, transparency, explainability, privacy, and bias mitigation practices. Translate complex AI and machine learning concepts into clear, actionable business insights for non-technical stakeholders. Support decision-making through predictive analytics, intelligent automation, and AI-driven recommendations that enhance business outcomes. Research, evaluate, and recommend emerging AI tools, machine learning platforms, and industry innovations to support continuous improvement. Assist in planning and managing AI deployments across cloud platforms such as "AWS", "Google Cloud Platform (GCP)", and "Microsoft Azure" using managed AI services. Maintain comprehensive documentation of AI solutions, workflows, datasets, performance evaluations, and deployment processes. Collaborate with cross-functional teams to ensure machine learning solutions align with business objectives, regulatory requirements, and organizational standards.
29/07/2026
Full time
Define and design machine learning solutions using AI tools, managed services, and intelligent platforms without requiring direct model coding. Identify business problems, operational challenges, and strategic objectives, mapping them to appropriate AI and machine learning use cases. Utilize pre-built AI models, AutoML solutions, and no-code/low-code platforms to develop effective and scalable machine learning applications. Evaluate model outputs, prediction accuracy, and overall performance using dashboards, reports, and AI monitoring metrics. Collaborate with data scientists, engineers, business analysts, and stakeholders to guide machine learning development and deployment initiatives. Select appropriate datasets and ensure data quality, relevance, completeness, and consistency for AI-driven applications. Apply data labeling techniques, augmentation strategies, and model optimization processes through AI-powered tools and platforms. Monitor deployed AI and machine learning systems, analyzing performance trends and recommending improvements or retraining activities. Ensure ethical and responsible AI usage by promoting fairness, transparency, explainability, privacy, and bias mitigation practices. Translate complex AI and machine learning concepts into clear, actionable business insights for non-technical stakeholders. Support decision-making through predictive analytics, intelligent automation, and AI-driven recommendations that enhance business outcomes. Research, evaluate, and recommend emerging AI tools, machine learning platforms, and industry innovations to support continuous improvement. Assist in planning and managing AI deployments across cloud platforms such as "AWS", "Google Cloud Platform (GCP)", and "Microsoft Azure" using managed AI services. Maintain comprehensive documentation of AI solutions, workflows, datasets, performance evaluations, and deployment processes. Collaborate with cross-functional teams to ensure machine learning solutions align with business objectives, regulatory requirements, and organizational standards.
Java Software Engineer, Wholesale Credit Risk Analytics - Assistant Vice PresidentApplyremote type: Hybridlocations: Belfast United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: Software Engineer, Wholesale Credit Risk Analytics We are seeking a skilled and motivated software engineer to join our Credit Risk Technology team. This role offers an exciting opportunity to work on critical risk management systems, developing solutions that support the bank's stress testing functions globally. The ideal candidate will be a hands-on developer with a strong commitment to engineering excellence, demonstrable interest and experience using GenAI in software engineering and excellent communication skills Responsibilities Contribute to the engineering and implementation of software solutions, assisting with the definition of system scope and objectives for assigned projects. Write clean, efficient, and maintainable code as part of a development team. Support the analysis of business processes and system requirements to help recommend appropriate system enhancements. Assist in triaging production issues and user questions as necessary. Learn and apply the firm's standards for risk management, compliance, and ethical judgment in all work. Required Qualifications Professional experience in a software development role using GitHub copilot and agentic AI tools Strong Experience in Java using Spring or Apache Flink Frameworks in Unix and Windows environments Demonstrable knowledge of cloud compute principles using AWS, Azure, or Google Cloud Experience in SQL and knowledge of relational and/or no-sql database concepts and best practices Works well independently as well as within a team Other Qualifications Experience development with python in professional or personal capacity Experience in machine learning models and techniques and/or agentic AI workflows Understanding of Front-End technologies such as Angular or similar Prior experience in the financial services industry is a plus. Education Bachelor's degree/University degree in software engineering or related fields What we can offer you We work hard to have a positive financial and social impact on the communities we serve. In turn, we put our employees first and provide the best-in-class benefits they need to be well, live well and save well.By joining Citi Belfast, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: Generous holiday allowance starting at 27 days plus bank holidays; increasing with tenure A discretional annual performance related bonus Private medical insurance packages to suit your personal circumstances Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resourcesAlongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self every day. We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive. Sounds like Citi has everything you need? Then apply to discover the true extent of your capabilities.
29/07/2026
Full time
Java Software Engineer, Wholesale Credit Risk Analytics - Assistant Vice PresidentApplyremote type: Hybridlocations: Belfast United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: Software Engineer, Wholesale Credit Risk Analytics We are seeking a skilled and motivated software engineer to join our Credit Risk Technology team. This role offers an exciting opportunity to work on critical risk management systems, developing solutions that support the bank's stress testing functions globally. The ideal candidate will be a hands-on developer with a strong commitment to engineering excellence, demonstrable interest and experience using GenAI in software engineering and excellent communication skills Responsibilities Contribute to the engineering and implementation of software solutions, assisting with the definition of system scope and objectives for assigned projects. Write clean, efficient, and maintainable code as part of a development team. Support the analysis of business processes and system requirements to help recommend appropriate system enhancements. Assist in triaging production issues and user questions as necessary. Learn and apply the firm's standards for risk management, compliance, and ethical judgment in all work. Required Qualifications Professional experience in a software development role using GitHub copilot and agentic AI tools Strong Experience in Java using Spring or Apache Flink Frameworks in Unix and Windows environments Demonstrable knowledge of cloud compute principles using AWS, Azure, or Google Cloud Experience in SQL and knowledge of relational and/or no-sql database concepts and best practices Works well independently as well as within a team Other Qualifications Experience development with python in professional or personal capacity Experience in machine learning models and techniques and/or agentic AI workflows Understanding of Front-End technologies such as Angular or similar Prior experience in the financial services industry is a plus. Education Bachelor's degree/University degree in software engineering or related fields What we can offer you We work hard to have a positive financial and social impact on the communities we serve. In turn, we put our employees first and provide the best-in-class benefits they need to be well, live well and save well.By joining Citi Belfast, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: Generous holiday allowance starting at 27 days plus bank holidays; increasing with tenure A discretional annual performance related bonus Private medical insurance packages to suit your personal circumstances Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resourcesAlongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self every day. We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive. Sounds like Citi has everything you need? Then apply to discover the true extent of your capabilities.
Location: London, Hybrid on site (3 - 4 days in the central London-based office, and at client sites) Department: MSP Operations Summary The IT Technical Lead is the most senior technical individual contributor within the MSP team at Dr Logic, bridging day-to-day service delivery and longer-term technical strategy. You will own the technical quality of everything we deliver, setting standards, leading projects, owning the knowledge base, and ensuring our clients' environments remain secure, optimised, and well-documented. You will act as the final technical escalation point for the service desk, lead the delivery of complex client projects, and contribute directly to pre-sales and business development. You will work closely with clients on-site and remotely, particularly during onboarding phases, and play a central role in shaping Dr Logic's technical direction and roadmap. The Technical Lead reports to the MSP Operations Manager. Duties and Responsibilities Serve as an escalation point for complex technical issues from the L1 and L2 service desk teams. Take ownership of high-priority incidents (P1), driving resolution and ensuring clear communication with clients throughout. Meeting SLA targets, identifying patterns, removing blockers, and supporting the desk in maintaining service levels. Proactively monitor client environments for vulnerabilities, backup failures, and patch compliance, communicating findings and actions to clients. Client Projects Lead the technical delivery of client projects, taking ownership from scoping through to handover to BAU support. Ensure all project-related changes to client environments are fully documented. Support and manage the technical elements of client onboarding and offboarding, ensuring a high-quality, repeatable process. Collaborate with Project Engineers on more complex or concurrent engagements where required. Client Relationships & On-Site Support Act as a senior technical contact for key clients, building trusted advisory relationships. Conduct regular client site visits, particularly during and following onboarding, to support implementation, gather requirements, and strengthen relationships. Work directly with clients to assess their environments, identify improvement opportunities, and recommend solutions aligned to their needs and budget. Support the MSP Operations Manager and Managing Director in client reviews, technical presentations, and proposal development. Technical Standards & Stack Ownership Define, document, and enforce technical standards across the team, ensuring consistent, high-quality delivery across all client environments. Manage and optimise Dr Logic's internal technical stack, including MDM, RMM, identity management, and monitoring tooling. Manage internal licences, certificates, and expiry dates across the technical stack. Identify opportunities for automation and process improvement and lead on implementation where appropriate. Maintain Dr Logic's software and hardware asset lists. Knowledge Base & Documentation Own the Dr Logic knowledge base, establishing structure, quality standards, and a culture of consistent documentation across the team. Ensure client documentation is accurate, up to date, and reflects the current state of their environment following any change. Develop and lead knowledge-sharing sessions and training materials for the operations team. Pre-Sales & Technical Strategy Contribute technical expertise to pre-sales conversations, supporting scoping, solution design, and proposal development alongside the business development team. Provide clear, well-informed technical input into client proposals, helping ensure recommended solutions are achievable and commercially grounded. Contribute to Dr Logic's technical roadmap by evaluating new products and technologies. Team Development Mentor and support L1 and L2 technicians, sharing knowledge, reviewing complex cases, and helping the team grow technically. Lead by example in technical proficiency, documentation habits, and client communication standards. Train the operations team on new technologies, tooling, and implementations as they are introduced. Minimum 5 years experience working with Apple in a business environment, with deep expertise in macOS and iOS. Strong working knowledge of Windows Desktop and Windows Server environments. Experience managing IT services within an ITIL framework (incident, problem, change management). Familiarity with information security frameworks and working within a regulated or compliance-driven environment (e.g. ISO 27001, Cyber Essentials, SOC 2) Proven experience leading or delivering technical projects end-to-end. Strong understanding of MDM and identity management platforms (JumpCloud, Jamf, Addigy, Okta, Azure AD). Google Workspace and Microsoft 365/Entra administration. Networking: DHCP, DNS, IP addressing, subnetting, VLANs; configuration of routers, switches, and wireless access points. Experience with RMM tooling (e.g. NinjaOne, N-able) Experience with ITSM platforms (e.g. ServiceNow, Autotask). Patch management across software and operating systems. Excellent technical documentation skills, able to write clearly for both technical and non-technical audiences. Source control familiarity (GitHub or GitLab). Making use of AI tools such as Claude in everyday work. Previous experience within a Managed Service Provider (MSP). Jamf Certified Tech. Egnyte Technical Professional Certification. Apple Certified IT Professional Microsoft 365 Administrator Expert Google Workspace Administrator Experience contributing to technical pre-sales or solution design. Familiarity with SaaS product administration at scale. Experience with software packaging tools (e.g. Jamf Composer, AutoPkg) and software deployment on Mac and Windows. Personal Qualities Technically excellent and genuinely passionate about technology and the MSP space. Clear and confident communicator, comfortable with clients, engineers, and senior stakeholders alike. Takes ownership: follows through, documents thoroughly, and holds a high personal bar. Calm and decisive under pressure, particularly during high-priority incidents. Proactive and curious, always looking to improve processes, tooling, or the team's capabilities. Collaborative and approachable, leading through expertise and example rather than authority. Organised, detail-oriented, and able to manage competing priorities across projects and BAU.
29/07/2026
Full time
Location: London, Hybrid on site (3 - 4 days in the central London-based office, and at client sites) Department: MSP Operations Summary The IT Technical Lead is the most senior technical individual contributor within the MSP team at Dr Logic, bridging day-to-day service delivery and longer-term technical strategy. You will own the technical quality of everything we deliver, setting standards, leading projects, owning the knowledge base, and ensuring our clients' environments remain secure, optimised, and well-documented. You will act as the final technical escalation point for the service desk, lead the delivery of complex client projects, and contribute directly to pre-sales and business development. You will work closely with clients on-site and remotely, particularly during onboarding phases, and play a central role in shaping Dr Logic's technical direction and roadmap. The Technical Lead reports to the MSP Operations Manager. Duties and Responsibilities Serve as an escalation point for complex technical issues from the L1 and L2 service desk teams. Take ownership of high-priority incidents (P1), driving resolution and ensuring clear communication with clients throughout. Meeting SLA targets, identifying patterns, removing blockers, and supporting the desk in maintaining service levels. Proactively monitor client environments for vulnerabilities, backup failures, and patch compliance, communicating findings and actions to clients. Client Projects Lead the technical delivery of client projects, taking ownership from scoping through to handover to BAU support. Ensure all project-related changes to client environments are fully documented. Support and manage the technical elements of client onboarding and offboarding, ensuring a high-quality, repeatable process. Collaborate with Project Engineers on more complex or concurrent engagements where required. Client Relationships & On-Site Support Act as a senior technical contact for key clients, building trusted advisory relationships. Conduct regular client site visits, particularly during and following onboarding, to support implementation, gather requirements, and strengthen relationships. Work directly with clients to assess their environments, identify improvement opportunities, and recommend solutions aligned to their needs and budget. Support the MSP Operations Manager and Managing Director in client reviews, technical presentations, and proposal development. Technical Standards & Stack Ownership Define, document, and enforce technical standards across the team, ensuring consistent, high-quality delivery across all client environments. Manage and optimise Dr Logic's internal technical stack, including MDM, RMM, identity management, and monitoring tooling. Manage internal licences, certificates, and expiry dates across the technical stack. Identify opportunities for automation and process improvement and lead on implementation where appropriate. Maintain Dr Logic's software and hardware asset lists. Knowledge Base & Documentation Own the Dr Logic knowledge base, establishing structure, quality standards, and a culture of consistent documentation across the team. Ensure client documentation is accurate, up to date, and reflects the current state of their environment following any change. Develop and lead knowledge-sharing sessions and training materials for the operations team. Pre-Sales & Technical Strategy Contribute technical expertise to pre-sales conversations, supporting scoping, solution design, and proposal development alongside the business development team. Provide clear, well-informed technical input into client proposals, helping ensure recommended solutions are achievable and commercially grounded. Contribute to Dr Logic's technical roadmap by evaluating new products and technologies. Team Development Mentor and support L1 and L2 technicians, sharing knowledge, reviewing complex cases, and helping the team grow technically. Lead by example in technical proficiency, documentation habits, and client communication standards. Train the operations team on new technologies, tooling, and implementations as they are introduced. Minimum 5 years experience working with Apple in a business environment, with deep expertise in macOS and iOS. Strong working knowledge of Windows Desktop and Windows Server environments. Experience managing IT services within an ITIL framework (incident, problem, change management). Familiarity with information security frameworks and working within a regulated or compliance-driven environment (e.g. ISO 27001, Cyber Essentials, SOC 2) Proven experience leading or delivering technical projects end-to-end. Strong understanding of MDM and identity management platforms (JumpCloud, Jamf, Addigy, Okta, Azure AD). Google Workspace and Microsoft 365/Entra administration. Networking: DHCP, DNS, IP addressing, subnetting, VLANs; configuration of routers, switches, and wireless access points. Experience with RMM tooling (e.g. NinjaOne, N-able) Experience with ITSM platforms (e.g. ServiceNow, Autotask). Patch management across software and operating systems. Excellent technical documentation skills, able to write clearly for both technical and non-technical audiences. Source control familiarity (GitHub or GitLab). Making use of AI tools such as Claude in everyday work. Previous experience within a Managed Service Provider (MSP). Jamf Certified Tech. Egnyte Technical Professional Certification. Apple Certified IT Professional Microsoft 365 Administrator Expert Google Workspace Administrator Experience contributing to technical pre-sales or solution design. Familiarity with SaaS product administration at scale. Experience with software packaging tools (e.g. Jamf Composer, AutoPkg) and software deployment on Mac and Windows. Personal Qualities Technically excellent and genuinely passionate about technology and the MSP space. Clear and confident communicator, comfortable with clients, engineers, and senior stakeholders alike. Takes ownership: follows through, documents thoroughly, and holds a high personal bar. Calm and decisive under pressure, particularly during high-priority incidents. Proactive and curious, always looking to improve processes, tooling, or the team's capabilities. Collaborative and approachable, leading through expertise and example rather than authority. Organised, detail-oriented, and able to manage competing priorities across projects and BAU.
Institutional Fabric for the Digital Asset Market Founded in 2018, Talos provides institutional-grade trading technology for the global digital asset market, powering many of the major players in the crypto ecosystem. Our mission is clear: to advance the mass adoption of digital assets by seamlessly connecting institutions to the digital asset ecosystem. We are committed to building the most innovative and trusted platform in the world, supporting the entire trading lifecycle. At Talos, you'll find an environment that champions kindness and respect, values diverse perspectives, and upholds inclusivity at every turn. We believe every member of our team brings invaluable insights and abilities that drive Talos forward. In our pursuit of excellence, we foster a culture of trust, integrity, collaboration, and mutual growth. We are a tight-knit yet globally distributed team of highly experienced engineers and business leaders, with hubs in New York, London, Singapore, and Cyprus. Whether in-office or remote, you'll be part of a hybrid-friendly environment where your unique talents and insights will play a crucial role in building something extraordinary. TechOps Engineer (System Administrator) We are seeking a TechOps Engineer (Mid-Level System Administrator) to strengthen and scale our internal technology operations. This is a hybrid role combining system administration, cloud infrastructure, and engineering, with a strong focus on improving operational efficiency and reducing dependency on senior team members. The role sits at the intersection of support and engineering, enabling users and building scalable systems. You will take ownership of core infrastructure challenges, particularly across cloud identity, Linux environments, and infrastructure as code, while also driving improvements in developer experience (DevEx) and internal tooling. You will act as a force multiplier for the wider business: automating repetitive workflows, introducing self-service capabilities, and leveraging AI tools to enhance operational processes. You will work closely with engineering and internal stakeholders to remove bottlenecks, improve access management, and ensure systems are secure, scalable, and efficient. Responsibilities Manage day-to-day system administration tasks across cloud and SaaS environments Administer identity and access management (IAM) across multi-cloud platforms (e.g., AWS, GCP) Develop and maintain infrastructure using Infrastructure as Code (IaC) tools such as Terraform Maintain and troubleshoot Linux-based systems and core infrastructure services Monitor and optimise cloud spend, supporting FinOps initiatives and cost-efficiency strategies Manage hardware and software lifecycle, including procurement and asset tracking Support deployment and integration of AI tools and automation solutions to improve operational workflows Collaborate with engineering and TechOps teams to enhance developer experience (DevEx) Provide technical support, documentation, and mentorship to junior team members Identify and implement process improvements to enhance system reliability and efficiency Qualifications 4+ years of experience in a System Administrator, DevOps adjacent, or TechOps role Strong experience with cloud platforms and IAM (AWS, GCP, or Azure) Proficiency in Infrastructure as Code tools for IT Administration (e.g., Terraform) Solid Linux administration and troubleshooting skills Experience managing SaaS applications and identity providers (e.g., Okta, Google Workspace, MDM tools) Understanding of networking fundamentals and security best practicesExperience or interest in AI tools and their application in operational workflows Ability to work independently, manage priorities, and operate effectively in a dynamic environment Scripting experience e.g., Python, Bash Bachelor's degree in a relevant field or equivalent practical experience preferred Check out these videos and links to learn more about Talos and our culture! Spotlight Article: Talos Snapshot by DRW Podcast: 2023 episode with co-founders Anton & Ethan Website: Explore Talos: Products, Investors, Team & More Case Studies: Real world examples of client solutions Awards: Talos Wins Hedgeweek Global Digital Assets Award 2024 Culture: Award-winning, Forbes-listed, low-attrition team Andreessen Horowitz re: Talos: "The company best suited to drive institutional adoption is one that understands traditional capital markets deeply and is forward-thinking enough to fully grasp the promise of crypto. Talos is that company." Benefits You will also enjoy a comprehensive array of competitive benefits, regardless of your location, within our warm, welcoming, and ambitious company culture. Our offerings include a monthly wellness credit for personal use, such as gym memberships, massages, or even a ski pass for your next holiday. Additionally, we provide paid lunches in the office, monthly fitness and evening socials to foster connections with colleagues, and annual offsite events to engage with the wider team. Get In Touch! Sounds compelling? We'd love to hear from you. Contact us directly. Also, check out other open positions listed on our website. Talos is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Talos is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at . To protect the interests of all parties, Talos Trading, LLC and its affiliates ("Talos") strongly discourage submission of unsolicited resumes from any source other than directly from a candidate. Talos will NOT pay fees, commissions or compensation of any kind ("Fees") for any placement or hire resulting from the receipt of an unsolicited resume. Talos will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees and Talos reserves the right to contact, interview, and hire the candidate directly. Agencies, search firms, recruitment firms and similar organizations ("Agencies") must obtain advance written approval from Talos's internal recruiting team to submit resumes, AND must sign a valid fully executed placement agreement with Talos in order to be eligible to receive any Fees from Talos. Talos will not pay a Fee to any Agency that does not have such agreement in place. By submitting a resume without a signed agreement, you acknowledge and accept these terms. Talos Trading, . By submitting your application and pursuing job candidacy, you consent to the processing of your personal information in connection with our Applicant & Employee Privacy Notice.
29/07/2026
Full time
Institutional Fabric for the Digital Asset Market Founded in 2018, Talos provides institutional-grade trading technology for the global digital asset market, powering many of the major players in the crypto ecosystem. Our mission is clear: to advance the mass adoption of digital assets by seamlessly connecting institutions to the digital asset ecosystem. We are committed to building the most innovative and trusted platform in the world, supporting the entire trading lifecycle. At Talos, you'll find an environment that champions kindness and respect, values diverse perspectives, and upholds inclusivity at every turn. We believe every member of our team brings invaluable insights and abilities that drive Talos forward. In our pursuit of excellence, we foster a culture of trust, integrity, collaboration, and mutual growth. We are a tight-knit yet globally distributed team of highly experienced engineers and business leaders, with hubs in New York, London, Singapore, and Cyprus. Whether in-office or remote, you'll be part of a hybrid-friendly environment where your unique talents and insights will play a crucial role in building something extraordinary. TechOps Engineer (System Administrator) We are seeking a TechOps Engineer (Mid-Level System Administrator) to strengthen and scale our internal technology operations. This is a hybrid role combining system administration, cloud infrastructure, and engineering, with a strong focus on improving operational efficiency and reducing dependency on senior team members. The role sits at the intersection of support and engineering, enabling users and building scalable systems. You will take ownership of core infrastructure challenges, particularly across cloud identity, Linux environments, and infrastructure as code, while also driving improvements in developer experience (DevEx) and internal tooling. You will act as a force multiplier for the wider business: automating repetitive workflows, introducing self-service capabilities, and leveraging AI tools to enhance operational processes. You will work closely with engineering and internal stakeholders to remove bottlenecks, improve access management, and ensure systems are secure, scalable, and efficient. Responsibilities Manage day-to-day system administration tasks across cloud and SaaS environments Administer identity and access management (IAM) across multi-cloud platforms (e.g., AWS, GCP) Develop and maintain infrastructure using Infrastructure as Code (IaC) tools such as Terraform Maintain and troubleshoot Linux-based systems and core infrastructure services Monitor and optimise cloud spend, supporting FinOps initiatives and cost-efficiency strategies Manage hardware and software lifecycle, including procurement and asset tracking Support deployment and integration of AI tools and automation solutions to improve operational workflows Collaborate with engineering and TechOps teams to enhance developer experience (DevEx) Provide technical support, documentation, and mentorship to junior team members Identify and implement process improvements to enhance system reliability and efficiency Qualifications 4+ years of experience in a System Administrator, DevOps adjacent, or TechOps role Strong experience with cloud platforms and IAM (AWS, GCP, or Azure) Proficiency in Infrastructure as Code tools for IT Administration (e.g., Terraform) Solid Linux administration and troubleshooting skills Experience managing SaaS applications and identity providers (e.g., Okta, Google Workspace, MDM tools) Understanding of networking fundamentals and security best practicesExperience or interest in AI tools and their application in operational workflows Ability to work independently, manage priorities, and operate effectively in a dynamic environment Scripting experience e.g., Python, Bash Bachelor's degree in a relevant field or equivalent practical experience preferred Check out these videos and links to learn more about Talos and our culture! Spotlight Article: Talos Snapshot by DRW Podcast: 2023 episode with co-founders Anton & Ethan Website: Explore Talos: Products, Investors, Team & More Case Studies: Real world examples of client solutions Awards: Talos Wins Hedgeweek Global Digital Assets Award 2024 Culture: Award-winning, Forbes-listed, low-attrition team Andreessen Horowitz re: Talos: "The company best suited to drive institutional adoption is one that understands traditional capital markets deeply and is forward-thinking enough to fully grasp the promise of crypto. Talos is that company." Benefits You will also enjoy a comprehensive array of competitive benefits, regardless of your location, within our warm, welcoming, and ambitious company culture. Our offerings include a monthly wellness credit for personal use, such as gym memberships, massages, or even a ski pass for your next holiday. Additionally, we provide paid lunches in the office, monthly fitness and evening socials to foster connections with colleagues, and annual offsite events to engage with the wider team. Get In Touch! Sounds compelling? We'd love to hear from you. Contact us directly. Also, check out other open positions listed on our website. Talos is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Talos is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at . To protect the interests of all parties, Talos Trading, LLC and its affiliates ("Talos") strongly discourage submission of unsolicited resumes from any source other than directly from a candidate. Talos will NOT pay fees, commissions or compensation of any kind ("Fees") for any placement or hire resulting from the receipt of an unsolicited resume. Talos will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees and Talos reserves the right to contact, interview, and hire the candidate directly. Agencies, search firms, recruitment firms and similar organizations ("Agencies") must obtain advance written approval from Talos's internal recruiting team to submit resumes, AND must sign a valid fully executed placement agreement with Talos in order to be eligible to receive any Fees from Talos. Talos will not pay a Fee to any Agency that does not have such agreement in place. By submitting a resume without a signed agreement, you acknowledge and accept these terms. Talos Trading, . By submitting your application and pursuing job candidacy, you consent to the processing of your personal information in connection with our Applicant & Employee Privacy Notice.
Google Cloud Platform Architect - AI/ML We're seeking an experienced AI/ML professional to join a growing GCP Practice team as an GCP AI/ML Practice Architect in a permanent position. In this role, you'll help design, develop, and deliver AI, Machine Learning, Generative AI, and Data Modernisation solutions on Google Cloud Platform, working closely with clients and delivery teams to translate business challenges into scalable, production-ready cloud solutions. Key Responsibilities Design and deliver AI/ML solutions leveraging GCP services including Vertex AI, BigQuery ML, AutoML, Gemini, Dataflow, and Cloud Storage. Develop, train, deploy, and integrate machine learning models into scalable production environments using Python and modern ML frameworks. Support data engineering, migration, and modernisation initiatives across GCP data platforms including BigQuery, Pub/Sub, Dataproc, Cloud SQL, Bigtable, and Firestore. Implement and promote MLOps best practices, including CI/CD pipelines, model deployment, monitoring, versioning, and automation. Collaborate with customers and stakeholders to gather requirements, shape solutions, support technical workshops, and contribute to successful project delivery. Work alongside architects, data engineers, and project teams to drive innovation and ensure alignment with customer objectives and delivery standards. What We're Looking For 5+ years of experience in AI/ML, Data Science, Data Engineering, Cloud Engineering, or Solution Architecture roles. Hands-on experience developing, deploying, and supporting machine learning solutions in production environments. Strong experience with Google Cloud Platform, particularly Vertex AI, BigQuery, AutoML, and emerging Generative AI technologies. Knowledge of machine learning, deep learning, NLP, MLOps, data pipelines, and cloud-native architectures. experience with Docker, Kubernetes, Python, and modern data platform technologies. Strong communication and stakeholder management skills, with experience working in client-facing environments. experience working within an IT Services, Consulting, or Professional Services environment, with exposure to client-facing delivery, solution design, technical workshops, pre-sales support, or stakeholder engagement. Google Cloud Associate Cloud Engineer and Professional Data Engineer certifications are required; Professional Machine Learning Engineer certification is advantageous. This is an excellent opportunity for someone looking to combine deep technical expertise with solution architecture and consulting, helping organisations accelerate their AI and cloud transformation journeys on Google Cloud Job Title: GCP Architect Location: London, UK Job Type: Permanent Trading as TEKsystems. Allegis Group Limited, Bracknell, RG12 1RT, United Kingdom. No Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at our website. To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go our website. We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice on our website for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.
29/07/2026
Full time
Google Cloud Platform Architect - AI/ML We're seeking an experienced AI/ML professional to join a growing GCP Practice team as an GCP AI/ML Practice Architect in a permanent position. In this role, you'll help design, develop, and deliver AI, Machine Learning, Generative AI, and Data Modernisation solutions on Google Cloud Platform, working closely with clients and delivery teams to translate business challenges into scalable, production-ready cloud solutions. Key Responsibilities Design and deliver AI/ML solutions leveraging GCP services including Vertex AI, BigQuery ML, AutoML, Gemini, Dataflow, and Cloud Storage. Develop, train, deploy, and integrate machine learning models into scalable production environments using Python and modern ML frameworks. Support data engineering, migration, and modernisation initiatives across GCP data platforms including BigQuery, Pub/Sub, Dataproc, Cloud SQL, Bigtable, and Firestore. Implement and promote MLOps best practices, including CI/CD pipelines, model deployment, monitoring, versioning, and automation. Collaborate with customers and stakeholders to gather requirements, shape solutions, support technical workshops, and contribute to successful project delivery. Work alongside architects, data engineers, and project teams to drive innovation and ensure alignment with customer objectives and delivery standards. What We're Looking For 5+ years of experience in AI/ML, Data Science, Data Engineering, Cloud Engineering, or Solution Architecture roles. Hands-on experience developing, deploying, and supporting machine learning solutions in production environments. Strong experience with Google Cloud Platform, particularly Vertex AI, BigQuery, AutoML, and emerging Generative AI technologies. Knowledge of machine learning, deep learning, NLP, MLOps, data pipelines, and cloud-native architectures. experience with Docker, Kubernetes, Python, and modern data platform technologies. Strong communication and stakeholder management skills, with experience working in client-facing environments. experience working within an IT Services, Consulting, or Professional Services environment, with exposure to client-facing delivery, solution design, technical workshops, pre-sales support, or stakeholder engagement. Google Cloud Associate Cloud Engineer and Professional Data Engineer certifications are required; Professional Machine Learning Engineer certification is advantageous. This is an excellent opportunity for someone looking to combine deep technical expertise with solution architecture and consulting, helping organisations accelerate their AI and cloud transformation journeys on Google Cloud Job Title: GCP Architect Location: London, UK Job Type: Permanent Trading as TEKsystems. Allegis Group Limited, Bracknell, RG12 1RT, United Kingdom. No Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at our website. To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go our website. We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice on our website for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.
In Short: Our Direct to Consumer business is performing and growing strongly, which is why we - within the Commercial Platform team at On - are looking for a Senior Backend Engineer to scale On's online business to the next level. As an experienced engineer, you will be responsible to design, build, deploy, test and operate our digital services. You will be sitting in our office in London and collaborating closely with the cross-functional Digital teams across our key locations. The Senior Software Engineer role will report to the relevant Senior Lead - Engineering Manager within Commercial Technology. Your Mission As a Senior Backend Engineer in our Commercial cluster, you will be at the heart of On's digital ecosystem. You will design, build, and scale the critical services that power our global e-commerce platform, B2B partner portals, and retail experiences. Your work will directly impact how we deliver product information, checkout process and end-to-end e-com user experience, to our customers and partners, ensuring a seamless and premium experience that drives our commercial success. What You'll Do Design, develop, and maintain robust and scalable backend services using our modern tech stack, with a primary focus on NestJS, TypeScript, and GraphQL. Take ownership of key components within our Commercial cluster, ensuring they are performant, reliable, and meet the needs of various client applications (web, mobile, and third-party integrations). Collaborate closely with frontend engineers, product managers, and other stakeholders to deliver end-to-end features. Agentic engineering, comfortable using AI in your daily workflow. Deploy and operate your services in a cloud-native environment on Google Cloud Platform (GCP), using Kubernetes and Docker. Engage with and contribute to our distributed systems landscape, helping to build resilient systems that can handle our growing scale. Your Story A strong background in backend development, with proven experience building and shipping high-quality software. Proficiency in Node.js and TypeScript, with a deep understanding of modern backend frameworks. Hands-on experience with NestJS is a significant advantage. Solid experience in designing, building, and consuming GraphQL APIs. Strong knowledge of relational databases (e.g., PostgreSQL) and data modeling. Hands-on experience with cloud platforms (GCP is a plus) and containerization technologies (Docker, Kubernetes). You are a collaborative team player with excellent communication skills, comfortable working in an agile environment. Bonus points for experience with: ORM tools like MikroORM Event-driven systems (e.g., Kafka, BullMQ, Pub/Sub) E-com ecosystems Your Team: As you might expect from a running brand, the wider E-commerce team at On is a fast-paced place to be. You will work in the diverse Commercial Technology domain, collaborating with Software Engineers, QA Engineers, Product Managers, Data Analytics, Marketing and others of stream-aligned or platform teams that are located inthe Berlin, Zurich and London. What We Offer At On, we are a team of explorers, dreamers, and innovators. We live and breathe our mission to ignite the human spirit through movement. We offer a dynamic, fast-paced, and collaborative environment where you can make a real impact. You'll be surrounded by passionate and talented colleagues, with plenty of opportunities for professional growth and development. On is an Equal Opportunity Employer. We are committed to creating a work environment that is fair and inclusive, where all decisions related to recruitment, advancement, and retention are free of discrimination.
29/07/2026
Full time
In Short: Our Direct to Consumer business is performing and growing strongly, which is why we - within the Commercial Platform team at On - are looking for a Senior Backend Engineer to scale On's online business to the next level. As an experienced engineer, you will be responsible to design, build, deploy, test and operate our digital services. You will be sitting in our office in London and collaborating closely with the cross-functional Digital teams across our key locations. The Senior Software Engineer role will report to the relevant Senior Lead - Engineering Manager within Commercial Technology. Your Mission As a Senior Backend Engineer in our Commercial cluster, you will be at the heart of On's digital ecosystem. You will design, build, and scale the critical services that power our global e-commerce platform, B2B partner portals, and retail experiences. Your work will directly impact how we deliver product information, checkout process and end-to-end e-com user experience, to our customers and partners, ensuring a seamless and premium experience that drives our commercial success. What You'll Do Design, develop, and maintain robust and scalable backend services using our modern tech stack, with a primary focus on NestJS, TypeScript, and GraphQL. Take ownership of key components within our Commercial cluster, ensuring they are performant, reliable, and meet the needs of various client applications (web, mobile, and third-party integrations). Collaborate closely with frontend engineers, product managers, and other stakeholders to deliver end-to-end features. Agentic engineering, comfortable using AI in your daily workflow. Deploy and operate your services in a cloud-native environment on Google Cloud Platform (GCP), using Kubernetes and Docker. Engage with and contribute to our distributed systems landscape, helping to build resilient systems that can handle our growing scale. Your Story A strong background in backend development, with proven experience building and shipping high-quality software. Proficiency in Node.js and TypeScript, with a deep understanding of modern backend frameworks. Hands-on experience with NestJS is a significant advantage. Solid experience in designing, building, and consuming GraphQL APIs. Strong knowledge of relational databases (e.g., PostgreSQL) and data modeling. Hands-on experience with cloud platforms (GCP is a plus) and containerization technologies (Docker, Kubernetes). You are a collaborative team player with excellent communication skills, comfortable working in an agile environment. Bonus points for experience with: ORM tools like MikroORM Event-driven systems (e.g., Kafka, BullMQ, Pub/Sub) E-com ecosystems Your Team: As you might expect from a running brand, the wider E-commerce team at On is a fast-paced place to be. You will work in the diverse Commercial Technology domain, collaborating with Software Engineers, QA Engineers, Product Managers, Data Analytics, Marketing and others of stream-aligned or platform teams that are located inthe Berlin, Zurich and London. What We Offer At On, we are a team of explorers, dreamers, and innovators. We live and breathe our mission to ignite the human spirit through movement. We offer a dynamic, fast-paced, and collaborative environment where you can make a real impact. You'll be surrounded by passionate and talented colleagues, with plenty of opportunities for professional growth and development. On is an Equal Opportunity Employer. We are committed to creating a work environment that is fair and inclusive, where all decisions related to recruitment, advancement, and retention are free of discrimination.
The Role: Senior GCP APIGEE Engineer Location: Bristol, Leeds, Halifax, Manchester, Edinburgh, UK Position Type: Contract Inside IR35 Implementation Partner - TCS/LBG Remote work option Available: 2 Days Onsite Job Description: Your responsibilities: Hands-on development and management of Google Apigee API Management Platform . Design, build, and deploy API proxies , policies, and configurations in Apigee. Implement CI/CD pipelines for API life cycle management using tools like Jenkins, GitHub Actions, or Harness. Develop and maintain API security policies (OAuth, JWT, mTLS, rate limiting, threat protection). Automate Apigee deployments and configurations using Infrastructure as Code (IaC) principles. Integrate Apigee with GCP services (Cloud Functions, Pub/Sub, BigQuery, etc.) for end-to-end solutions. Build automated workflows and scripts for API operations using Python . Manage API analytics, monitoring, and logging for performance and compliance. Enforce GCP Organization Policies and API governance standards for secure and compliant API ecosystems. Collaborate with DevOps teams to implement containerized Apigee components and manage deployments on Google Kubernetes Engine (GKE) . Optimize API performance and scalability through caching, quota management, and traffic routing. Support migration of Legacy APIs into Apigee and standardize reusable templates for API development. Essential skills/knowledge/experience: Strong hands-on experience with Google Apigee API Management. Expertise in CI/CD pipelines and DevOps practices for API deployments. Python Scripting for automation and workflow orchestration. Familiarity with Terraform/Terraform Cloud for IaC (good to have). Experience with Jenkins, GitHub, Harness for pipeline automation. Knowledge of Google Kubernetes (GKE) and container orchestration. Understanding of API security standards and policy-as-code (OPA/Sentinel). GCP Certified (preferably Apigee Certified API Engineer). Good to have: Experience with IDE platforms for API development (eg, Backstage).
29/07/2026
Contractor
The Role: Senior GCP APIGEE Engineer Location: Bristol, Leeds, Halifax, Manchester, Edinburgh, UK Position Type: Contract Inside IR35 Implementation Partner - TCS/LBG Remote work option Available: 2 Days Onsite Job Description: Your responsibilities: Hands-on development and management of Google Apigee API Management Platform . Design, build, and deploy API proxies , policies, and configurations in Apigee. Implement CI/CD pipelines for API life cycle management using tools like Jenkins, GitHub Actions, or Harness. Develop and maintain API security policies (OAuth, JWT, mTLS, rate limiting, threat protection). Automate Apigee deployments and configurations using Infrastructure as Code (IaC) principles. Integrate Apigee with GCP services (Cloud Functions, Pub/Sub, BigQuery, etc.) for end-to-end solutions. Build automated workflows and scripts for API operations using Python . Manage API analytics, monitoring, and logging for performance and compliance. Enforce GCP Organization Policies and API governance standards for secure and compliant API ecosystems. Collaborate with DevOps teams to implement containerized Apigee components and manage deployments on Google Kubernetes Engine (GKE) . Optimize API performance and scalability through caching, quota management, and traffic routing. Support migration of Legacy APIs into Apigee and standardize reusable templates for API development. Essential skills/knowledge/experience: Strong hands-on experience with Google Apigee API Management. Expertise in CI/CD pipelines and DevOps practices for API deployments. Python Scripting for automation and workflow orchestration. Familiarity with Terraform/Terraform Cloud for IaC (good to have). Experience with Jenkins, GitHub, Harness for pipeline automation. Knowledge of Google Kubernetes (GKE) and container orchestration. Understanding of API security standards and policy-as-code (OPA/Sentinel). GCP Certified (preferably Apigee Certified API Engineer). Good to have: Experience with IDE platforms for API development (eg, Backstage).
Okta Pre-Sales Consultant Remote UK & Europe Fluent English Help organisations transform the way they secure digital identity. Envo Talent is partnering with one of Europe's leading Identity & Access Management consultancies to recruit an experienced Okta Pre-Sales Consultant . This is an opportunity to join a market-leading consultancy delivering enterprise Identity solutions for organisations across Europe. Working alongside some of the industry's strongest Okta specialists, you'll help customers solve complex identity challenges by designing secure, scalable solutions that deliver real business value. If you enjoy combining technical expertise with customer engagement and want to influence projects before delivery even begins, this is a fantastic opportunity. The Opportunity As a trusted technical advisor, you'll work closely with customers, sales teams and solution architects to understand business requirements, shape technical strategy and demonstrate how Okta can solve complex identity challenges. You'll play a key role throughout the sales cycle, helping customers build confidence in the proposed solution whilst working closely with delivery teams to ensure a seamless transition into implementation. This is a highly customer-facing role where communication skills are just as important as technical capability. What You'll Be Doing You'll be responsible for: Partnering with the sales team to qualify new opportunities and provide technical leadership throughout the sales process. Leading technical workshops, product demonstrations and proof of concepts across the Okta platform. Working with customers to understand business objectives, technical requirements and existing identity landscapes. Designing high-level solution architectures tailored to customer requirements. Supporting proposals, tenders and RFP responses with technical content and solution design. Acting as a trusted advisor on Identity & Access Management best practice. Working closely with delivery consultants to ensure successful project handovers. Building reusable demo environments, technical collateral and pre-sales assets. What We're Looking For We're interested in speaking with professionals who have strong experience across the Okta platform, including: Workforce Identity Customer Identity (CIAM) Single Sign-On (SSO) Multi-Factor Authentication (MFA) Lifecycle Management You'll also bring experience with: Delivering customer demonstrations and proof of concepts. Solution design and technical discovery workshops. Identity and Access Management concepts and enterprise security. Authentication standards including SAML, OAuth2, OpenID Connect and SCIM. Cloud platforms such as Azure, AWS or Google Cloud. We'd Love To See Previous experience as a Pre-Sales Consultant, Solutions Engineer or Solutions Architect within the IAM or Cyber Security space. Excellent presentation and communication skills with both technical and non-technical stakeholders. The ability to simplify complex technical concepts for business audiences. Okta certifications (Professional or Consultant level preferred). Additional experience with technologies such as Microsoft Entra ID, Ping Identity or ForgeRock would be advantageous. Fluent English. Why Join? You'll become part of one of Europe's most respected Identity consultancies, working with enterprise organisations on strategic digital transformation programmes. You'll benefit from: Fully remote and flexible working. Exposure to complex enterprise Identity projects across Europe. Ongoing investment in training and professional development. Funded certifications and dedicated learning days. Genuine career progression within a growing consultancy. Competitive salary and comprehensive benefits package. Interested? If you're passionate about Identity & Access Management and enjoy combining technology with customer engagement, we'd love to hear from you. Apply today or contact Envo Talent for a confidential discussion.
29/07/2026
Full time
Okta Pre-Sales Consultant Remote UK & Europe Fluent English Help organisations transform the way they secure digital identity. Envo Talent is partnering with one of Europe's leading Identity & Access Management consultancies to recruit an experienced Okta Pre-Sales Consultant . This is an opportunity to join a market-leading consultancy delivering enterprise Identity solutions for organisations across Europe. Working alongside some of the industry's strongest Okta specialists, you'll help customers solve complex identity challenges by designing secure, scalable solutions that deliver real business value. If you enjoy combining technical expertise with customer engagement and want to influence projects before delivery even begins, this is a fantastic opportunity. The Opportunity As a trusted technical advisor, you'll work closely with customers, sales teams and solution architects to understand business requirements, shape technical strategy and demonstrate how Okta can solve complex identity challenges. You'll play a key role throughout the sales cycle, helping customers build confidence in the proposed solution whilst working closely with delivery teams to ensure a seamless transition into implementation. This is a highly customer-facing role where communication skills are just as important as technical capability. What You'll Be Doing You'll be responsible for: Partnering with the sales team to qualify new opportunities and provide technical leadership throughout the sales process. Leading technical workshops, product demonstrations and proof of concepts across the Okta platform. Working with customers to understand business objectives, technical requirements and existing identity landscapes. Designing high-level solution architectures tailored to customer requirements. Supporting proposals, tenders and RFP responses with technical content and solution design. Acting as a trusted advisor on Identity & Access Management best practice. Working closely with delivery consultants to ensure successful project handovers. Building reusable demo environments, technical collateral and pre-sales assets. What We're Looking For We're interested in speaking with professionals who have strong experience across the Okta platform, including: Workforce Identity Customer Identity (CIAM) Single Sign-On (SSO) Multi-Factor Authentication (MFA) Lifecycle Management You'll also bring experience with: Delivering customer demonstrations and proof of concepts. Solution design and technical discovery workshops. Identity and Access Management concepts and enterprise security. Authentication standards including SAML, OAuth2, OpenID Connect and SCIM. Cloud platforms such as Azure, AWS or Google Cloud. We'd Love To See Previous experience as a Pre-Sales Consultant, Solutions Engineer or Solutions Architect within the IAM or Cyber Security space. Excellent presentation and communication skills with both technical and non-technical stakeholders. The ability to simplify complex technical concepts for business audiences. Okta certifications (Professional or Consultant level preferred). Additional experience with technologies such as Microsoft Entra ID, Ping Identity or ForgeRock would be advantageous. Fluent English. Why Join? You'll become part of one of Europe's most respected Identity consultancies, working with enterprise organisations on strategic digital transformation programmes. You'll benefit from: Fully remote and flexible working. Exposure to complex enterprise Identity projects across Europe. Ongoing investment in training and professional development. Funded certifications and dedicated learning days. Genuine career progression within a growing consultancy. Competitive salary and comprehensive benefits package. Interested? If you're passionate about Identity & Access Management and enjoy combining technology with customer engagement, we'd love to hear from you. Apply today or contact Envo Talent for a confidential discussion.
Music is UniversalIt's the passionate and dedicated team at Universal Music who help make us the world's leading music company. From A&R to finance, legal to digital, sales to marketing, Universal Music is the place to grow and develop your career within a truly commercial and innovative business that leads in everything it does.Everyone is welcome to apply for our roles, and we are determined to ensure that no applicant or employee receives less favourable treatment because of gender, race, disability, sexual orientation, religion, belief, age, marital status, background, pregnancy, or caring responsibilities. We also recognise the importance of diversity of thought within our teams and are fully committed to embracing the talents of people with autism, dyslexia, ADHD, and other forms of neurocognitive variation.We will always seek to make appropriate adjustments to recruitment, workplaces, and work processes to be fully inclusive to people with different needs and working styles. If you need us to make any reasonable adjustments for you from application onwards, including alternatives to the online form or to disclose a neurocognitive condition, please email DescriptionWith a global footprint, the Universal Music Group Royalty and Copyright Product Team designs develops, delivers and maintains several technical solutions to calculate royalty accounting in a timely and accurate manner to our valued artists.We're also providing them with extensive and detailed visibility of their earnings from various sources of digital income. The team continuously collaborates with our international business teams to deliver innovative solutions, support best practices, and introduce new processes for better royalty flow.The RoleThe Data Engineer will work closely with business stakeholders, product managers, and engineering teams to deliver data-driven insights & automation that support the Royalty and Copyright business. The role is responsible for analyzing data, identifying trends, producing reporting or automated processes/ETL solutions, supporting data quality initiatives, and translating business requirements into actionable insights.The successful candidate will help improve business decision-making through accurate reporting, analytics, and continuous process improvement.Key ResponsibilitiesDesign, build, and maintain scalable data pipelines and ETL/ELT processes.Develop and optimise data integration solutions between on-premises and cloud platforms.Ensure the quality, reliability, and integrity of enterprise data.Build and maintain data warehouses, data lakes, and semantic data models.Automate manual data processes to improve efficiency and reduce operational overhead.Implement data governance, security, and compliance standards across data platforms.Troubleshoot and resolve data quality, performance, and integration issues.Work with stakeholders to gather requirements and translate them into reporting or automated solutions.Communicate analytical findings and recommendations to technical and non-technical audiences.Identify opportunities to automate reporting processes and improve operational efficiency.Skills and Experience requiredMust HaveStrong SQL skills and experience querying large datasets.Experience with Python, R, or other analytical programming languages.Experience with reporting and visualization tools such as Power BI, Tableau, or Looker.Experience development ETL/ELT solutionsStrong analytical and problem-solving skills.Experience with data validation, reconciliation, and quality assurance processes.Ability to gather, document, and analyze business requirements.Excellent communication and stakeholder management skills.Strong attention to detail and ability to work independently.Experience working with relational databases, data warehouses, and reporting platforms.Nice to HaveKnowledge of cloud data platforms such as AWS, Azure or Google Cloud.Knowledge of royalty and copyright processes.Experience working in Agile delivery environments.Music industry business knowledge.Key Behavioral/Personality TraitsYou will have a strong track record of turning data into meaningful business insights and communicating complex findings clearly to stakeholders. You will be proactive in your approach, leveraging analytical and problem-solving skills to investigate issues, identify opportunities, and support business improvements. Attention to detail, curiosity, collaboration, critical thinking, and persistence will be essential to success.Just So You Know The company presents this job description as a guide to the major areas and duties for which the jobholder is accountable. However, the business operates in an environment that demands change and the jobholder's specific responsibilities and activities will vary and develop. Therefore, the job description should be seen as indicative and not as a permanent, definitive, and exhaustive statement.Job Category:Technology
29/07/2026
Full time
Music is UniversalIt's the passionate and dedicated team at Universal Music who help make us the world's leading music company. From A&R to finance, legal to digital, sales to marketing, Universal Music is the place to grow and develop your career within a truly commercial and innovative business that leads in everything it does.Everyone is welcome to apply for our roles, and we are determined to ensure that no applicant or employee receives less favourable treatment because of gender, race, disability, sexual orientation, religion, belief, age, marital status, background, pregnancy, or caring responsibilities. We also recognise the importance of diversity of thought within our teams and are fully committed to embracing the talents of people with autism, dyslexia, ADHD, and other forms of neurocognitive variation.We will always seek to make appropriate adjustments to recruitment, workplaces, and work processes to be fully inclusive to people with different needs and working styles. If you need us to make any reasonable adjustments for you from application onwards, including alternatives to the online form or to disclose a neurocognitive condition, please email DescriptionWith a global footprint, the Universal Music Group Royalty and Copyright Product Team designs develops, delivers and maintains several technical solutions to calculate royalty accounting in a timely and accurate manner to our valued artists.We're also providing them with extensive and detailed visibility of their earnings from various sources of digital income. The team continuously collaborates with our international business teams to deliver innovative solutions, support best practices, and introduce new processes for better royalty flow.The RoleThe Data Engineer will work closely with business stakeholders, product managers, and engineering teams to deliver data-driven insights & automation that support the Royalty and Copyright business. The role is responsible for analyzing data, identifying trends, producing reporting or automated processes/ETL solutions, supporting data quality initiatives, and translating business requirements into actionable insights.The successful candidate will help improve business decision-making through accurate reporting, analytics, and continuous process improvement.Key ResponsibilitiesDesign, build, and maintain scalable data pipelines and ETL/ELT processes.Develop and optimise data integration solutions between on-premises and cloud platforms.Ensure the quality, reliability, and integrity of enterprise data.Build and maintain data warehouses, data lakes, and semantic data models.Automate manual data processes to improve efficiency and reduce operational overhead.Implement data governance, security, and compliance standards across data platforms.Troubleshoot and resolve data quality, performance, and integration issues.Work with stakeholders to gather requirements and translate them into reporting or automated solutions.Communicate analytical findings and recommendations to technical and non-technical audiences.Identify opportunities to automate reporting processes and improve operational efficiency.Skills and Experience requiredMust HaveStrong SQL skills and experience querying large datasets.Experience with Python, R, or other analytical programming languages.Experience with reporting and visualization tools such as Power BI, Tableau, or Looker.Experience development ETL/ELT solutionsStrong analytical and problem-solving skills.Experience with data validation, reconciliation, and quality assurance processes.Ability to gather, document, and analyze business requirements.Excellent communication and stakeholder management skills.Strong attention to detail and ability to work independently.Experience working with relational databases, data warehouses, and reporting platforms.Nice to HaveKnowledge of cloud data platforms such as AWS, Azure or Google Cloud.Knowledge of royalty and copyright processes.Experience working in Agile delivery environments.Music industry business knowledge.Key Behavioral/Personality TraitsYou will have a strong track record of turning data into meaningful business insights and communicating complex findings clearly to stakeholders. You will be proactive in your approach, leveraging analytical and problem-solving skills to investigate issues, identify opportunities, and support business improvements. Attention to detail, curiosity, collaboration, critical thinking, and persistence will be essential to success.Just So You Know The company presents this job description as a guide to the major areas and duties for which the jobholder is accountable. However, the business operates in an environment that demands change and the jobholder's specific responsibilities and activities will vary and develop. Therefore, the job description should be seen as indicative and not as a permanent, definitive, and exhaustive statement.Job Category:Technology
We're looking for a Cloud Operations Database Engineer to join our DevOps team in Barcelona and help keep Sage's online product portfolio available, secure, and performant for customers around the clock. You'll sit at the intersection of Development and Operations - deploying, administering, monitoring, and continuously improving databases across multiple products and teams. This is a hands on, operational role in a 24/7 environment. You'll work closely with product delivery teams, Security, Architecture, and Automation specialists to build and run resilient database infrastructure, automate manual processes, and respond confidently when incidents arise. If you enjoy solving complex technical problems under pressure, care about operational excellence, and want to grow your cloud and database skills in a large-scale SaaS environment, this role is a strong fit. This is a hybrid role requiring 3 days per week in our Newcastle office. First 90 Days 30 Days Get to know Sage's database estate: the platforms in use, monitoring tooling, incident management processes, and the product teams you'll support. Familiarise yourself with Sage standards, ISO processes, and the Cloud Operations team's ways of working. Begin contributing to day to day database operations and shadow the on call rota before joining it. 60 Days Take active ownership of database operations across your assigned products. Handle monitoring, routine maintenance, and incident response with growing confidence. Begin contributing to automation scripts and service improvement initiatives. Engage with product delivery teams to support query optimisation and deployment activities. 90 Days Operate independently across the full scope of the role: database administration, performance optimisation, incident response, security protocols, backup and recovery, and cost monitoring. Contribute meaningfully to the team's continuous improvement agenda and begin sharing your knowledge with junior colleagues. Meet the Team You'll join the Cloud Operations team - a cross functional DevOps group accountable for the availability and reliability of Sage's online product portfolio. The team works in close partnership with product delivery teams, Security, Architecture, and Automation colleagues, and operates under ISO standards with a strong focus on process rigour and operational excellence. Your work will span multiple products and teams, so strong communication and prioritisation skills matter as much as technical depth. You'll have access to guidance from subject matter experts across Security, Architecture, and Automation, and will be supported in building your cloud and database skills over time. How Success Will Be Measured Database availability measured against agreed Service Level Agreements Timely resolution of incidents and service tickets in line with the Incident Management Process Delivery against the agreed service improvement plan Proactive identification and mitigation of issues before they impact customers Quality and coverage of automation scripts and operational documentation Qualifications Essential Familiarity with relational databases including MS SQL, MySQL, and PostgreSQL - administration, performance tuning, and troubleshooting Scripting experience for task automation using PowerShell, Bash, Python, or Ruby Experience with applications deployed on AWS or Azure, including distributed computing, containers, Kubernetes, and/or serverless technologies Strong analytical and problem solving skills with the ability to debug complex issues under pressure Excellent communication skills - able to explain technical issues clearly to non technical stakeholders and business teams Experience working across cross functional teams with strong multitasking and prioritisation skills Fluency in English, written and spoken; Spanish fluency is a plus Preferred 3-5 years of experience in a Database, Sysadmin, DevOps, SRE, IT Operations, or similar role in a customer facing technical environment 1-3 years of hands on cloud experience (AWS, Azure, or Google Cloud) Exposure to ISO standards and structured operational processes Database technology certification (any vendor) is advantageous A degree in a relevant subject is beneficial but not essential - demonstrable hands on expertise is equally valued Benefits Comprehensive health, dental and vision coverage Work away scheme for up to 10 weeks a year On going training and professional development Paid 5 days yearly to volunteer through our Sage Foundation Flexible work patterns and hybrid working At Sage, we offer you an environment where you can grow professionally without compromising your personal well being. Our benefits package is designed to provide stability, flexibility, and balance.
29/07/2026
Full time
We're looking for a Cloud Operations Database Engineer to join our DevOps team in Barcelona and help keep Sage's online product portfolio available, secure, and performant for customers around the clock. You'll sit at the intersection of Development and Operations - deploying, administering, monitoring, and continuously improving databases across multiple products and teams. This is a hands on, operational role in a 24/7 environment. You'll work closely with product delivery teams, Security, Architecture, and Automation specialists to build and run resilient database infrastructure, automate manual processes, and respond confidently when incidents arise. If you enjoy solving complex technical problems under pressure, care about operational excellence, and want to grow your cloud and database skills in a large-scale SaaS environment, this role is a strong fit. This is a hybrid role requiring 3 days per week in our Newcastle office. First 90 Days 30 Days Get to know Sage's database estate: the platforms in use, monitoring tooling, incident management processes, and the product teams you'll support. Familiarise yourself with Sage standards, ISO processes, and the Cloud Operations team's ways of working. Begin contributing to day to day database operations and shadow the on call rota before joining it. 60 Days Take active ownership of database operations across your assigned products. Handle monitoring, routine maintenance, and incident response with growing confidence. Begin contributing to automation scripts and service improvement initiatives. Engage with product delivery teams to support query optimisation and deployment activities. 90 Days Operate independently across the full scope of the role: database administration, performance optimisation, incident response, security protocols, backup and recovery, and cost monitoring. Contribute meaningfully to the team's continuous improvement agenda and begin sharing your knowledge with junior colleagues. Meet the Team You'll join the Cloud Operations team - a cross functional DevOps group accountable for the availability and reliability of Sage's online product portfolio. The team works in close partnership with product delivery teams, Security, Architecture, and Automation colleagues, and operates under ISO standards with a strong focus on process rigour and operational excellence. Your work will span multiple products and teams, so strong communication and prioritisation skills matter as much as technical depth. You'll have access to guidance from subject matter experts across Security, Architecture, and Automation, and will be supported in building your cloud and database skills over time. How Success Will Be Measured Database availability measured against agreed Service Level Agreements Timely resolution of incidents and service tickets in line with the Incident Management Process Delivery against the agreed service improvement plan Proactive identification and mitigation of issues before they impact customers Quality and coverage of automation scripts and operational documentation Qualifications Essential Familiarity with relational databases including MS SQL, MySQL, and PostgreSQL - administration, performance tuning, and troubleshooting Scripting experience for task automation using PowerShell, Bash, Python, or Ruby Experience with applications deployed on AWS or Azure, including distributed computing, containers, Kubernetes, and/or serverless technologies Strong analytical and problem solving skills with the ability to debug complex issues under pressure Excellent communication skills - able to explain technical issues clearly to non technical stakeholders and business teams Experience working across cross functional teams with strong multitasking and prioritisation skills Fluency in English, written and spoken; Spanish fluency is a plus Preferred 3-5 years of experience in a Database, Sysadmin, DevOps, SRE, IT Operations, or similar role in a customer facing technical environment 1-3 years of hands on cloud experience (AWS, Azure, or Google Cloud) Exposure to ISO standards and structured operational processes Database technology certification (any vendor) is advantageous A degree in a relevant subject is beneficial but not essential - demonstrable hands on expertise is equally valued Benefits Comprehensive health, dental and vision coverage Work away scheme for up to 10 weeks a year On going training and professional development Paid 5 days yearly to volunteer through our Sage Foundation Flexible work patterns and hybrid working At Sage, we offer you an environment where you can grow professionally without compromising your personal well being. Our benefits package is designed to provide stability, flexibility, and balance.
Build the data foundation behind a digital investing experience used by over 275,000 investors in the UK. Join Personal Investing to help deliver clear, data-driven insights through robust cloud-native platforms and pipelines. You'll work with modern lakehouse, warehousing, and streaming technologies while strengthening engineering excellence and operational reliability. This is an opportunity to grow your impact on a platform that supports analytics and regulatory reporting at scale. Job summary As a Data Engineer at JPMorgan Chase within Personal Investing, you will build and operate a robust cloud-native data platform and pipelines that power analytics, regulatory reporting, and data promoted applications at scale. You will help us deliver reliable, scalable, observable, and secure data solutions across cloud-native services, lakehouse architectures, data warehousing, and streaming systems. You'll partner with teammates to build consistent, maintainable pipelines and contribute across the software delivery lifecycle from requirements through support. Job responsibilities Build and maintain scalable, reusable data processing and data quality frameworks using Python, PySpark, and dbt Build and operate batch and streaming data pipelines with strong scalability, performance, and fault tolerance Develop and manage workflow orchestration using tools such as Apache Airflow to support reliable, observable, and well-scheduled data movement and transformations Implement and optimize data models and warehouse structures to support analytics and business intelligence workloads Write clean, testable Python/PySpark code using object-oriented principles and unit testing Implement infrastructure-as-code for the data platform using Terraform Containerize and deploy services using Docker, Kubernetes, and Helm Contribute across the software development lifecycle, including requirements, design, development, testing, deployment, release, and support Collaborate with teammates in an agile, dynamic environment to deliver reliable outcomes Required qualifications, capabilities, and skills Degree in Computer Science or a STEM-related field (or equivalent) Experience working in an agile and dynamic environment Experience across the software development lifecycle (requirements, design, architecture, development, testing, deployment, release, and support) At least 5 years of recent, hands on professional experience actively coding as a data engineer Hands on experience with major cloud technologies (e.g., AWS, Google Cloud, or Azure) Experience writing Python using object-oriented programming and unit/integration testing practices Experience with SQL and familiarity with SQL-based workflow management tools such as dbt Experience with orchestration tools such as Airflow (or similar) Understanding of messaging/streaming systems such as Kafka or Pub/Sub (or similar) Familiarity with infrastructure-as-code (e.g., Terraform) for cloud-based data infrastructure Preferred qualifications, capabilities, and skills Data modeling skills Experience with data streaming and scalable processing frameworks (e.g., Spark, Flink, Beam, or similar) Experience automating deployment, releases, and testing in continuous integration and continuous delivery pipelines Experience with lakehouse patterns and table formats (e.g., Apache Iceberg) Experience with federated query engines such as Trino Experience designing automated tests (unit, component, integration, and end-to-end), including use of mocking frameworks Experience with containers and container-based deployment environments (e.g., Docker, Kubernetes, or similar) We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
29/07/2026
Full time
Build the data foundation behind a digital investing experience used by over 275,000 investors in the UK. Join Personal Investing to help deliver clear, data-driven insights through robust cloud-native platforms and pipelines. You'll work with modern lakehouse, warehousing, and streaming technologies while strengthening engineering excellence and operational reliability. This is an opportunity to grow your impact on a platform that supports analytics and regulatory reporting at scale. Job summary As a Data Engineer at JPMorgan Chase within Personal Investing, you will build and operate a robust cloud-native data platform and pipelines that power analytics, regulatory reporting, and data promoted applications at scale. You will help us deliver reliable, scalable, observable, and secure data solutions across cloud-native services, lakehouse architectures, data warehousing, and streaming systems. You'll partner with teammates to build consistent, maintainable pipelines and contribute across the software delivery lifecycle from requirements through support. Job responsibilities Build and maintain scalable, reusable data processing and data quality frameworks using Python, PySpark, and dbt Build and operate batch and streaming data pipelines with strong scalability, performance, and fault tolerance Develop and manage workflow orchestration using tools such as Apache Airflow to support reliable, observable, and well-scheduled data movement and transformations Implement and optimize data models and warehouse structures to support analytics and business intelligence workloads Write clean, testable Python/PySpark code using object-oriented principles and unit testing Implement infrastructure-as-code for the data platform using Terraform Containerize and deploy services using Docker, Kubernetes, and Helm Contribute across the software development lifecycle, including requirements, design, development, testing, deployment, release, and support Collaborate with teammates in an agile, dynamic environment to deliver reliable outcomes Required qualifications, capabilities, and skills Degree in Computer Science or a STEM-related field (or equivalent) Experience working in an agile and dynamic environment Experience across the software development lifecycle (requirements, design, architecture, development, testing, deployment, release, and support) At least 5 years of recent, hands on professional experience actively coding as a data engineer Hands on experience with major cloud technologies (e.g., AWS, Google Cloud, or Azure) Experience writing Python using object-oriented programming and unit/integration testing practices Experience with SQL and familiarity with SQL-based workflow management tools such as dbt Experience with orchestration tools such as Airflow (or similar) Understanding of messaging/streaming systems such as Kafka or Pub/Sub (or similar) Familiarity with infrastructure-as-code (e.g., Terraform) for cloud-based data infrastructure Preferred qualifications, capabilities, and skills Data modeling skills Experience with data streaming and scalable processing frameworks (e.g., Spark, Flink, Beam, or similar) Experience automating deployment, releases, and testing in continuous integration and continuous delivery pipelines Experience with lakehouse patterns and table formats (e.g., Apache Iceberg) Experience with federated query engines such as Trino Experience designing automated tests (unit, component, integration, and end-to-end), including use of mocking frameworks Experience with containers and container-based deployment environments (e.g., Docker, Kubernetes, or similar) We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Minimum qualifications Bachelor's degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). 1 year of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. Experience with core GenAI concepts (e.g., LLM, Multi-Modal, Large Vision Models) and text, image, video, or audio generation. Preferred qualifications Master's degree or PhD in Computer Science or a related technical field. 2 years of experience with data structures and algorithms. Experience in solving customer problems by navigating ambiguous requirements to deliver effective technical solutions and tangible business outcomes. Experience in Vertex AI, BigQuery, Cloud Storage, Dialogflow. Experience in prompt development, model evaluation, and the creative application of Artificial Intelligence (AI). Ability to be flexible and resilient in dynamic environments to take ownership and respond to urgent business or customer issues. About the job The company Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to the company Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, you will be at the forefront of applying the company's Generative AI to solve real-world issues for our customers. You will act as a specialized software developer embedded with key accounts, working to build, deploy, and optimize sophisticated AI agents on our customer engagement suite (CES) platform. You will bridge the gap between our core product engineering teams and customer needs, directly accelerating customer success and shaping the future of our AI products. The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed. Join us to work on cutting-edge projects and shape the future of AI in a fast-paced, collaborative, and impactful environment. Responsibilities Partner directly with select customers to understand their business issues. Design, co-develop, debug, and deploy custom conversational AI agents and solutions to accelerate their time to value. Act as a high-level problem solver, empowered to write bespoke code, develop custom tooling, and contribute directly to the core product codebase to resolve critical customer issues. Be able to systematize your learnings from customer engagements by creating reusable tools, building documentation and accelerators, and establishing best practices that can be used across the organization. Serve as a critical feedback loop to our core Product and Engineering teams. Synthesize firsthand insights from the field to influence product strategy and identify gaps. Act as a subject matter expert, providing technical guidance and best practices to customers on agent improvement, performance tuning, CI/CD pipelines, and production readiness. 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.
29/07/2026
Full time
Minimum qualifications Bachelor's degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). 1 year of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. Experience with core GenAI concepts (e.g., LLM, Multi-Modal, Large Vision Models) and text, image, video, or audio generation. Preferred qualifications Master's degree or PhD in Computer Science or a related technical field. 2 years of experience with data structures and algorithms. Experience in solving customer problems by navigating ambiguous requirements to deliver effective technical solutions and tangible business outcomes. Experience in Vertex AI, BigQuery, Cloud Storage, Dialogflow. Experience in prompt development, model evaluation, and the creative application of Artificial Intelligence (AI). Ability to be flexible and resilient in dynamic environments to take ownership and respond to urgent business or customer issues. About the job The company Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to the company Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, you will be at the forefront of applying the company's Generative AI to solve real-world issues for our customers. You will act as a specialized software developer embedded with key accounts, working to build, deploy, and optimize sophisticated AI agents on our customer engagement suite (CES) platform. You will bridge the gap between our core product engineering teams and customer needs, directly accelerating customer success and shaping the future of our AI products. The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed. Join us to work on cutting-edge projects and shape the future of AI in a fast-paced, collaborative, and impactful environment. Responsibilities Partner directly with select customers to understand their business issues. Design, co-develop, debug, and deploy custom conversational AI agents and solutions to accelerate their time to value. Act as a high-level problem solver, empowered to write bespoke code, develop custom tooling, and contribute directly to the core product codebase to resolve critical customer issues. Be able to systematize your learnings from customer engagements by creating reusable tools, building documentation and accelerators, and establishing best practices that can be used across the organization. Serve as a critical feedback loop to our core Product and Engineering teams. Synthesize firsthand insights from the field to influence product strategy and identify gaps. Act as a subject matter expert, providing technical guidance and best practices to customers on agent improvement, performance tuning, CI/CD pipelines, and production readiness. 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.
Software Engineer, Wholesale Credit Risk Analytics We are seeking a skilled and motivated software engineer to join our Credit Risk Technology team. This role offers an exciting opportunity to work on critical risk management systems, developing solutions that support the bank's stress testing functions globally. The ideal candidate will be a hands on developer with a strong commitment to engineering excellence, demonstrable interest and experience using GenAI in software engineering and excellent communication skills. Responsibilities Contribute to the engineering and implementation of software solutions, assisting with the definition of system scope and objectives for assigned projects. Write clean, efficient, and maintainable code as part of a development team. Support the analysis of business processes and system requirements to help recommend appropriate system enhancements. Assist in triaging production issues and user questions as necessary. Learn and apply the firm's standards for risk management, compliance, and ethical judgment in all work. Required Qualifications Professional experience in a software development role using GitHub Copilot and agentic AI tools. Strong experience in Java using Spring or Apache Flink Frameworks in Unix and Windows environments. Demonstrable knowledge of cloud compute principles using AWS, Azure, or Google Cloud. Experience in SQL and knowledge of relational and/or NoSQL database concepts and best practices. Works well independently as well as within a team. Other Qualifications Experience development with Python in professional or personal capacity. Experience in machine learning models and techniques and/or agentic AI workflows. Understanding of Front End technologies such as Angular or similar. Prior experience in the financial services industry is a plus. Education Bachelor's degree/University degree in software engineering or related fields. What we can offer you We work hard to have a positive financial and social impact on the communities we serve. In turn, we put our employees first and provide the best in class benefits they need to be well, live well and save well. By joining Citi Belfast, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a host of additional benefits such as: Generous holiday allowance starting at 27 days plus bank holidays; increasing with tenure. A discretionary annual performance related bonus. Private medical insurance packages to suit your personal circumstances. Employee Assistance Program. Pension Plan. Paid Parental Leave. Special discounts for employees, family, and friends. Access to an array of learning and development resources. Equal Opportunity Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
29/07/2026
Full time
Software Engineer, Wholesale Credit Risk Analytics We are seeking a skilled and motivated software engineer to join our Credit Risk Technology team. This role offers an exciting opportunity to work on critical risk management systems, developing solutions that support the bank's stress testing functions globally. The ideal candidate will be a hands on developer with a strong commitment to engineering excellence, demonstrable interest and experience using GenAI in software engineering and excellent communication skills. Responsibilities Contribute to the engineering and implementation of software solutions, assisting with the definition of system scope and objectives for assigned projects. Write clean, efficient, and maintainable code as part of a development team. Support the analysis of business processes and system requirements to help recommend appropriate system enhancements. Assist in triaging production issues and user questions as necessary. Learn and apply the firm's standards for risk management, compliance, and ethical judgment in all work. Required Qualifications Professional experience in a software development role using GitHub Copilot and agentic AI tools. Strong experience in Java using Spring or Apache Flink Frameworks in Unix and Windows environments. Demonstrable knowledge of cloud compute principles using AWS, Azure, or Google Cloud. Experience in SQL and knowledge of relational and/or NoSQL database concepts and best practices. Works well independently as well as within a team. Other Qualifications Experience development with Python in professional or personal capacity. Experience in machine learning models and techniques and/or agentic AI workflows. Understanding of Front End technologies such as Angular or similar. Prior experience in the financial services industry is a plus. Education Bachelor's degree/University degree in software engineering or related fields. What we can offer you We work hard to have a positive financial and social impact on the communities we serve. In turn, we put our employees first and provide the best in class benefits they need to be well, live well and save well. By joining Citi Belfast, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a host of additional benefits such as: Generous holiday allowance starting at 27 days plus bank holidays; increasing with tenure. A discretionary annual performance related bonus. Private medical insurance packages to suit your personal circumstances. Employee Assistance Program. Pension Plan. Paid Parental Leave. Special discounts for employees, family, and friends. Access to an array of learning and development resources. Equal Opportunity Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
Engine by Starling is on a mission to partner with leading banks worldwide to build rapid growth businesses on our technology. Engine is Starling's SaaS business, the technology that powers Starling. Two years ago we split out as a separate business. Starling has seen exceptional growth and success, thanks to our modern, in-house built technology. The SaaS platform is now available to banks and financial institutions globally, enabling them to benefit from innovative digital features and efficient back office processes. Hybrid Working We have a hybrid approach to working here at Engine. Our preference is that you're located within a commutable distance of one of our offices so we can interact and collaborate in person. About Engineering at Engine by Starling The Cross Cutting Engineering team is the backbone of our innovation. We build and maintain the reliable, scalable, and maintainable infrastructure and tooling that powers our entire software delivery pipeline-from the first line of code to seamless production deployment and ongoing operations. We own the lifecycle of our features, tackling complex challenges with a first principles approach and fostering a multi disciplinary environment where you're encouraged to explore and contribute across the platform. Platform Engineer As a Platform Engineer at Engine, you'll be at the forefront of building and scaling our cutting edge cloud native banking platform across multiple global cloud providers and regions. We are looking for engineers with a strong SRE mindset, who embrace ownership of the entire software delivery pipeline, and are passionate about building internal tooling that empowers our technology teams. What you'll get to do Building and Scaling Cloud Infrastructure: design, build, and maintain our cloud infrastructure across multiple providers (including GCP) and regions, ensuring scalability, reliability, and security. Building on Google Cloud: contribute to the build out and optimisation of our core "Engine" on Google Cloud Platform using Java and Kubernetes. Scaling our SaaS Release Tooling: enhance and improve our multi tenant, multi region SaaS release and continuous deployment systems using Java, Golang, and Terraform. Empowering Developers: develop and maintain internal tooling using Java and Golang to improve developer experience and on call efficiency. Automating Compliance and Security: build automation solutions in Golang to enforce compliance and security controls across our platform. Driving Efficiency: optimise the performance and reliability of our cloud environment with a strong focus on cost effectiveness. Embracing Automation: identify and implement automation opportunities to minimise manual processes across the platform lifecycle. Ensuring Security: implement and maintain robust security practices to protect our platform and customer data. Championing Best Practices: stay abreast of new technologies and industry changes, particularly in SRE practices and deployment automation, and share your knowledge with the team. Maintaining Compliance: contribute to ensuring our platform adheres to relevant industry standards such as ISO27001, SOC2, and PCI DSS. Collaborating and Learning: work closely with cross functional teams, share your expertise, and contribute to our vibrant learning culture. Aiming for Greatness: strive for excellence in everything you do, maintaining a curious and inquisitive mindset. Documenting Solutions: design and document scalable internal tooling clearly and comprehensively. Taking Ownership: own features and improvements throughout their entire lifecycle. Participate in on call: the option to join our on call rota (not mandatory!) to deal with interesting technical issues and gain deep insights into our platform's behaviour. Your place within the team will depend on your individual strengths and interests.
29/07/2026
Full time
Engine by Starling is on a mission to partner with leading banks worldwide to build rapid growth businesses on our technology. Engine is Starling's SaaS business, the technology that powers Starling. Two years ago we split out as a separate business. Starling has seen exceptional growth and success, thanks to our modern, in-house built technology. The SaaS platform is now available to banks and financial institutions globally, enabling them to benefit from innovative digital features and efficient back office processes. Hybrid Working We have a hybrid approach to working here at Engine. Our preference is that you're located within a commutable distance of one of our offices so we can interact and collaborate in person. About Engineering at Engine by Starling The Cross Cutting Engineering team is the backbone of our innovation. We build and maintain the reliable, scalable, and maintainable infrastructure and tooling that powers our entire software delivery pipeline-from the first line of code to seamless production deployment and ongoing operations. We own the lifecycle of our features, tackling complex challenges with a first principles approach and fostering a multi disciplinary environment where you're encouraged to explore and contribute across the platform. Platform Engineer As a Platform Engineer at Engine, you'll be at the forefront of building and scaling our cutting edge cloud native banking platform across multiple global cloud providers and regions. We are looking for engineers with a strong SRE mindset, who embrace ownership of the entire software delivery pipeline, and are passionate about building internal tooling that empowers our technology teams. What you'll get to do Building and Scaling Cloud Infrastructure: design, build, and maintain our cloud infrastructure across multiple providers (including GCP) and regions, ensuring scalability, reliability, and security. Building on Google Cloud: contribute to the build out and optimisation of our core "Engine" on Google Cloud Platform using Java and Kubernetes. Scaling our SaaS Release Tooling: enhance and improve our multi tenant, multi region SaaS release and continuous deployment systems using Java, Golang, and Terraform. Empowering Developers: develop and maintain internal tooling using Java and Golang to improve developer experience and on call efficiency. Automating Compliance and Security: build automation solutions in Golang to enforce compliance and security controls across our platform. Driving Efficiency: optimise the performance and reliability of our cloud environment with a strong focus on cost effectiveness. Embracing Automation: identify and implement automation opportunities to minimise manual processes across the platform lifecycle. Ensuring Security: implement and maintain robust security practices to protect our platform and customer data. Championing Best Practices: stay abreast of new technologies and industry changes, particularly in SRE practices and deployment automation, and share your knowledge with the team. Maintaining Compliance: contribute to ensuring our platform adheres to relevant industry standards such as ISO27001, SOC2, and PCI DSS. Collaborating and Learning: work closely with cross functional teams, share your expertise, and contribute to our vibrant learning culture. Aiming for Greatness: strive for excellence in everything you do, maintaining a curious and inquisitive mindset. Documenting Solutions: design and document scalable internal tooling clearly and comprehensively. Taking Ownership: own features and improvements throughout their entire lifecycle. Participate in on call: the option to join our on call rota (not mandatory!) to deal with interesting technical issues and gain deep insights into our platform's behaviour. Your place within the team will depend on your individual strengths and interests.
Responsibilities Help shape the cloud foundations that enable the organization to operate securely, scale efficiently and innovate responsibly Design, build and optimize GCP infrastructure using a wide range of cloud services Deliver Infrastructure as Code through Terraform and modular design patterns Develop automation using tools such as Python, Bash or Groovy Evolve the CI/CD ecosystem across technologies such as Jenkins, Harness and GitHub Work with Kubernetes (GKE) and modern deployment approaches to support scalable, resilient platforms Work closely with Infrastructure, Systems, Architecture and Software Engineering teams to deliver secure, automated and high quality cloud solutions Contribute to engineering quality through code reviews, design input and full lifecycle ownership Help guide and support more junior team members Participate in an on call support rota and occasional out of hours work Requirements Strong hands on experience with GCP services across a broad range Advanced experience with Terraform and IaC Proficiency in automation scripting (Python, Bash, Groovy) Knowledge of CI/CD pipelines using Jenkins, Harness and GitHub Experience managing environments using GKE or similar Kubernetes deployments Ability to work across engineering domains with excellent communication and collaboration Google Cloud Professional certifications would be great Experience writing security guardrails (Sentinel or similar) Experience with monitoring platforms such as Dynatrace or Cloud Monitoring Strong creativity, adaptability and a continuous learning mindset.
29/07/2026
Full time
Responsibilities Help shape the cloud foundations that enable the organization to operate securely, scale efficiently and innovate responsibly Design, build and optimize GCP infrastructure using a wide range of cloud services Deliver Infrastructure as Code through Terraform and modular design patterns Develop automation using tools such as Python, Bash or Groovy Evolve the CI/CD ecosystem across technologies such as Jenkins, Harness and GitHub Work with Kubernetes (GKE) and modern deployment approaches to support scalable, resilient platforms Work closely with Infrastructure, Systems, Architecture and Software Engineering teams to deliver secure, automated and high quality cloud solutions Contribute to engineering quality through code reviews, design input and full lifecycle ownership Help guide and support more junior team members Participate in an on call support rota and occasional out of hours work Requirements Strong hands on experience with GCP services across a broad range Advanced experience with Terraform and IaC Proficiency in automation scripting (Python, Bash, Groovy) Knowledge of CI/CD pipelines using Jenkins, Harness and GitHub Experience managing environments using GKE or similar Kubernetes deployments Ability to work across engineering domains with excellent communication and collaboration Google Cloud Professional certifications would be great Experience writing security guardrails (Sentinel or similar) Experience with monitoring platforms such as Dynatrace or Cloud Monitoring Strong creativity, adaptability and a continuous learning mindset.
Salary: £61,950.00 - 72,952.00 GBP Annual + upto £10,000 DDAT allowance per annum Pension: A Civil Service Pension with an employer contribution of 28.97%. Type: Full time. Please note: The advert will close at 11:59PM the night before the listed closing date. SLC offer a blended working model which will typically be 2 days in the office and 3 days from home. Is it time you unlocked your potential? Student Loans Company is a non-profit making Government-owned organisation to provide loans and grants to students in universities and colleges in the UK. Since 1989, we have enabled our customers to invest in their futures by delivering secure, accurate and efficient assessment, payment and repayment services. Our Values Culture Honesty: We act with integrity and transparency, sharing information openly and addressing challenges with courage. Empowerment: We enable people to take initiative, make impactful decisions, and continuously learn and grow. Accountability: We deliver on commitments, own our successes and mistakes, and strive for quality outcomes. Respect: We value diverse perspectives, actively listen, and create an inclusive environment where everyone belongs. Trust: We collaborate across teams, build dependable relationships, and work as one to deliver for our customers. These values are more than words-they guide our decisions, shape our collaborations, and strengthen our impact on the students we serve. About the Role As a Senior Technical Architect within SLC's Architecture team, you'll help shape and govern the organisation's technical direction. You'll define and refine architectures and designs that support major change programmes, ensuring they align with SLC's principles, strategies, and enterprise roadmap. This includes working across a diverse application estate from Commercial Off the Shelf Solutions through to micro service-based platforms both on prem and on cloud. You will also contribute to the development of technical roadmaps, lead design assurance activities, and promote innovation by exploring new technologies and approaches. Collaboration is central to the role-you'll work closely with business and technical colleagues, communicate architectural designs to varied audiences, and support technical teams in their development. What You Bring Ability to make architecture decisions while solving high risk architecture issues, assuring services against broader government standards, and managing architectural risks Confident translating complex technical concepts into non-technical language for senior stakeholders and presenting at various forums Ability to work collaboratively in a group or team and actively network with others while using your initiative to identify problems or issues in the team dynamic and rectify them Capacity to advocate or influence innovation initiatives and gain buy-in through collaboration with engineering, product and business teams Evidence-based decision-making skills e.g. translation of PoC findings into actionable recommendations. Providing risk assessment and mitigation Ability to assess maturity, risk, interoperability and sustainability of technologies while understanding and communicating complexity and architecture fit A self starting approach with the ability to work autonomously and collaboratively Advanced proficiency in conceptual, logical, physical and semantic data modelling for operational and analytical systems Experience in design and delivery of data pipelines using enterprise integration patterns and tooling from on prem and cloud data sources to enterprise data warehouse and data lakehouse architecture Experience working with software delivery partners in a multi vendor environment, including pre contract engagement, preparation of invitations to tender and tender evaluation Experience and knowledge of design & delivery of data services from at least one of public cloud providers e.g. AWS, Microsoft Azure, Google Cloud Experience of architecture design assurance and presentation at technical assurance board and architecture review board for information and approval Benefits and Rewards 28 days annual leave plus 8 public holidays Option to buy/sell annual leave Flexi time and enhanced flexible working options available Option to join the Civil Service pension scheme Life insurance cover for 4 x annual salary Enhanced company sick pay and family leave including maternity, paternity and adoption Contributory lifestyle benefit options including discounts at hundreds of retailers, cycle to work scheme, access to the Civil Service Sports and Leisure Club for discounted gym memberships, and an optional dental insurance scheme Legal Bits We'll need you to confirm you have the right to work in the UK. If we offer you a job and you accept, there are some background checks we need to complete before you can start with us. This will include employment history, criminal record check, credit reference check and fraud check. EDI As a proud Disability Confident Leader, we're committed to creating an inclusive recruitment experience that empowers people of all abilities. Our team actively promotes accessible hiring practices, supports candidates with disabilities throughout their employment journey to help build a diverse equitable workplace at SLC. SLC will make reasonable adjustments for those who consider themselves to have a disability or long term condition in line with the Equality Act 2010. Our application process provides candidates with the opportunity to request reasonable adjustments but if you would like to discuss this in more detail, please email . Use of AI in Job Applications Artificial Intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see Candidate Guidance for more information on appropriate and inappropriate use. Our Purpose When you join SLC you will become a valued member of our team which has a strong purpose - enabling more than 1.5 million students each year to invest in their futures via access to further and higher education. The Student Loans Company is a non profit making government owned organisation, who enable opportunity by providing funding to students in universities and college"s in the UK. Each year, we process around 1.5 million student finance applications worth £22 billion in loans and grants. We dedicate ourselves to supporting 9.7 million customers and administer a loan book valued at £260.8 billion. Whether a customer is applying for student finance or repaying their loan we want to make their experience as easy as possible, at the same time as delivering the exceptional service that they deserve.
29/07/2026
Full time
Salary: £61,950.00 - 72,952.00 GBP Annual + upto £10,000 DDAT allowance per annum Pension: A Civil Service Pension with an employer contribution of 28.97%. Type: Full time. Please note: The advert will close at 11:59PM the night before the listed closing date. SLC offer a blended working model which will typically be 2 days in the office and 3 days from home. Is it time you unlocked your potential? Student Loans Company is a non-profit making Government-owned organisation to provide loans and grants to students in universities and colleges in the UK. Since 1989, we have enabled our customers to invest in their futures by delivering secure, accurate and efficient assessment, payment and repayment services. Our Values Culture Honesty: We act with integrity and transparency, sharing information openly and addressing challenges with courage. Empowerment: We enable people to take initiative, make impactful decisions, and continuously learn and grow. Accountability: We deliver on commitments, own our successes and mistakes, and strive for quality outcomes. Respect: We value diverse perspectives, actively listen, and create an inclusive environment where everyone belongs. Trust: We collaborate across teams, build dependable relationships, and work as one to deliver for our customers. These values are more than words-they guide our decisions, shape our collaborations, and strengthen our impact on the students we serve. About the Role As a Senior Technical Architect within SLC's Architecture team, you'll help shape and govern the organisation's technical direction. You'll define and refine architectures and designs that support major change programmes, ensuring they align with SLC's principles, strategies, and enterprise roadmap. This includes working across a diverse application estate from Commercial Off the Shelf Solutions through to micro service-based platforms both on prem and on cloud. You will also contribute to the development of technical roadmaps, lead design assurance activities, and promote innovation by exploring new technologies and approaches. Collaboration is central to the role-you'll work closely with business and technical colleagues, communicate architectural designs to varied audiences, and support technical teams in their development. What You Bring Ability to make architecture decisions while solving high risk architecture issues, assuring services against broader government standards, and managing architectural risks Confident translating complex technical concepts into non-technical language for senior stakeholders and presenting at various forums Ability to work collaboratively in a group or team and actively network with others while using your initiative to identify problems or issues in the team dynamic and rectify them Capacity to advocate or influence innovation initiatives and gain buy-in through collaboration with engineering, product and business teams Evidence-based decision-making skills e.g. translation of PoC findings into actionable recommendations. Providing risk assessment and mitigation Ability to assess maturity, risk, interoperability and sustainability of technologies while understanding and communicating complexity and architecture fit A self starting approach with the ability to work autonomously and collaboratively Advanced proficiency in conceptual, logical, physical and semantic data modelling for operational and analytical systems Experience in design and delivery of data pipelines using enterprise integration patterns and tooling from on prem and cloud data sources to enterprise data warehouse and data lakehouse architecture Experience working with software delivery partners in a multi vendor environment, including pre contract engagement, preparation of invitations to tender and tender evaluation Experience and knowledge of design & delivery of data services from at least one of public cloud providers e.g. AWS, Microsoft Azure, Google Cloud Experience of architecture design assurance and presentation at technical assurance board and architecture review board for information and approval Benefits and Rewards 28 days annual leave plus 8 public holidays Option to buy/sell annual leave Flexi time and enhanced flexible working options available Option to join the Civil Service pension scheme Life insurance cover for 4 x annual salary Enhanced company sick pay and family leave including maternity, paternity and adoption Contributory lifestyle benefit options including discounts at hundreds of retailers, cycle to work scheme, access to the Civil Service Sports and Leisure Club for discounted gym memberships, and an optional dental insurance scheme Legal Bits We'll need you to confirm you have the right to work in the UK. If we offer you a job and you accept, there are some background checks we need to complete before you can start with us. This will include employment history, criminal record check, credit reference check and fraud check. EDI As a proud Disability Confident Leader, we're committed to creating an inclusive recruitment experience that empowers people of all abilities. Our team actively promotes accessible hiring practices, supports candidates with disabilities throughout their employment journey to help build a diverse equitable workplace at SLC. SLC will make reasonable adjustments for those who consider themselves to have a disability or long term condition in line with the Equality Act 2010. Our application process provides candidates with the opportunity to request reasonable adjustments but if you would like to discuss this in more detail, please email . Use of AI in Job Applications Artificial Intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see Candidate Guidance for more information on appropriate and inappropriate use. Our Purpose When you join SLC you will become a valued member of our team which has a strong purpose - enabling more than 1.5 million students each year to invest in their futures via access to further and higher education. The Student Loans Company is a non profit making government owned organisation, who enable opportunity by providing funding to students in universities and college"s in the UK. Each year, we process around 1.5 million student finance applications worth £22 billion in loans and grants. We dedicate ourselves to supporting 9.7 million customers and administer a loan book valued at £260.8 billion. Whether a customer is applying for student finance or repaying their loan we want to make their experience as easy as possible, at the same time as delivering the exceptional service that they deserve.
Job Description We are building the next generation of AI-native engineering talent engineers who use AI as a core part of how they work, not as an add-on. As an AI Engineer (Software), you will design, build, and ship production-grade software across the full stack, using AI-assisted tooling as standard daily practice alongside your core engineering skills. You will work on real client programs across industries, building production-grade software that connects to and supports agentic AI systems - understanding how your full-stack work integrates with agent architecture, LLM APIs, and enterprise AI pipelines. This is not a stepping-stone role: it is a core engineering function in the most in-demand part of the market, with a direct pathway to the Forward Deployed Engineer program for those who develop agentic depth. We offer what no single product company can: breadth across every industry, every enterprise technology stack, and every level of organizational complexity - combined with vendor fellowship access inside Anthropic, OpenAI, Microsoft, and Google engineering teams, structured AI certification pathways, and a clear development track toward agentic and forward-deployed engineering. Key Responsibilities Use AI coding assistants daily as a standard part of delivery, actively, frequently, and with demonstrable impact on productivity and output quality Integrate LLM APIs into applications in production: calling AI provider APIs in live code, managing token limits and latency, and building initial abstraction layers Apply AI across the full software delivery lifecycle: AI-generated tests, AI-assisted debugging, AI-accelerated code review, and prompt engineering for development tasks Own the quality of AI-generated outputs in your delivery scope, exercise engineering judgment about reliability, limitations, and failure modes; know when AI output is production-ready and when it is not Define and track KPIs to evaluate the effectiveness and ROI of AI-assisted workflows; present AI productivity and quality metrics to project stakeholders Own delivery end-to-end - from design through to production support - in Agile sprint cycles alongside client engineering teams Contribute to shared knowledge bases, reusable components, and internal AI tooling standards that benefit the wider team Build and integrate the application layers, APIs, and interfaces that connect full-stack systems to agentic backends - understanding data flows, context handoffs, and integration points between your code and AI pipelines Qualification Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related field Commercial software engineering experience in production environments (or equivalent demonstrated through academic projects, internships, or shipped personal projects) Proficiency in at least one primary backend language: Python, Java, or TypeScript Demonstrated hands-on experience using AI tools actively in day-to-day engineering work - with practical examples of how AI was used to solve real problems, iterate on outputs, and improve delivery; including direct experience calling LLM APIs in production code with an understanding of token management, latency, and cost tradeoffs Basic understanding of web technologies including JavaScript, HTML, and CSS Familiarity with cloud fundamentals (AWS, Azure, or GCP), containers (Docker), and CI/CD pipelines Understanding of Agile delivery fundamentals Experience with databases - SQL or NoSQL Ability to validate, evaluate, and improve AI-generated outputs; understanding of AI limitations and responsible use Familiarity with agentic system concepts - awareness of orchestration frameworks (LangChain, LangGraph, or equivalent), RAG pipelines, and how full-stack applications connect to agent-based architecture; production experience preferred, conceptual understanding required Locations Newcastle Additional Information Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces. Join Accenture to work at the heart of change. Visit us at .
29/07/2026
Full time
Job Description We are building the next generation of AI-native engineering talent engineers who use AI as a core part of how they work, not as an add-on. As an AI Engineer (Software), you will design, build, and ship production-grade software across the full stack, using AI-assisted tooling as standard daily practice alongside your core engineering skills. You will work on real client programs across industries, building production-grade software that connects to and supports agentic AI systems - understanding how your full-stack work integrates with agent architecture, LLM APIs, and enterprise AI pipelines. This is not a stepping-stone role: it is a core engineering function in the most in-demand part of the market, with a direct pathway to the Forward Deployed Engineer program for those who develop agentic depth. We offer what no single product company can: breadth across every industry, every enterprise technology stack, and every level of organizational complexity - combined with vendor fellowship access inside Anthropic, OpenAI, Microsoft, and Google engineering teams, structured AI certification pathways, and a clear development track toward agentic and forward-deployed engineering. Key Responsibilities Use AI coding assistants daily as a standard part of delivery, actively, frequently, and with demonstrable impact on productivity and output quality Integrate LLM APIs into applications in production: calling AI provider APIs in live code, managing token limits and latency, and building initial abstraction layers Apply AI across the full software delivery lifecycle: AI-generated tests, AI-assisted debugging, AI-accelerated code review, and prompt engineering for development tasks Own the quality of AI-generated outputs in your delivery scope, exercise engineering judgment about reliability, limitations, and failure modes; know when AI output is production-ready and when it is not Define and track KPIs to evaluate the effectiveness and ROI of AI-assisted workflows; present AI productivity and quality metrics to project stakeholders Own delivery end-to-end - from design through to production support - in Agile sprint cycles alongside client engineering teams Contribute to shared knowledge bases, reusable components, and internal AI tooling standards that benefit the wider team Build and integrate the application layers, APIs, and interfaces that connect full-stack systems to agentic backends - understanding data flows, context handoffs, and integration points between your code and AI pipelines Qualification Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related field Commercial software engineering experience in production environments (or equivalent demonstrated through academic projects, internships, or shipped personal projects) Proficiency in at least one primary backend language: Python, Java, or TypeScript Demonstrated hands-on experience using AI tools actively in day-to-day engineering work - with practical examples of how AI was used to solve real problems, iterate on outputs, and improve delivery; including direct experience calling LLM APIs in production code with an understanding of token management, latency, and cost tradeoffs Basic understanding of web technologies including JavaScript, HTML, and CSS Familiarity with cloud fundamentals (AWS, Azure, or GCP), containers (Docker), and CI/CD pipelines Understanding of Agile delivery fundamentals Experience with databases - SQL or NoSQL Ability to validate, evaluate, and improve AI-generated outputs; understanding of AI limitations and responsible use Familiarity with agentic system concepts - awareness of orchestration frameworks (LangChain, LangGraph, or equivalent), RAG pipelines, and how full-stack applications connect to agent-based architecture; production experience preferred, conceptual understanding required Locations Newcastle Additional Information Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces. Join Accenture to work at the heart of change. Visit us at .
# Azure Cloud Engineer - Sheffield, UK - Fixed term contractManchesterApply for this job Permanent Experienced Professionals Software Engineering ID 525624-en\_GB Azure Cloud Engineer About the Job you are considering: Join Capgemini's Cloud & Custom Applications (C&CA) practice, where we Consult with Purpose, Continuously Evolve, and Architect Tomorrow. Seeking a highly skilled and experienced Senior Engineer with 10 years of experience to architect implement and manage secure cloud infrastructure automation frameworks and AIenabled application delivery across multicloud environments This role has a primary focus on Azure and GCP with secondary support for AWS The ideal candidate will bring deep expertise in Terraformbased Infrastructure as Code CICD Kubernetes DevSecOps Nexusbased artifact management and platform reliability with strong alignment to security compliance and governance standards in regulated environments such as banking and financial services Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time. Your Role: Architect and operate secure scalable and resilient cloud platforms across Azure and GCP while supporting AWS integrations and workloads where required Design and maintain endtoend CICD pipelines using Azure DevOps GitHub Actions Jenkins and cloudnative tooling Build reusable Infrastructure as Code modules and standards using Terraform with strong state management and deployment governance Deploy and manage container platforms and workloads across AKS and GKE as primary targets with practical support for EKS Own enterprise artifact lifecycle management using Nexus Azure Repos GitHub GitHub Enterprise GitHub Actions including repository strategy dependency governance retention and promotion controls Implement DevSecOps controls including SAST DAST dependency and container image scanning secrets management and policyascode Define release strategies environment promotion flows rollback mechanisms and auditready deployment processes Establish observability standards for logs metrics traces and proactive alerting across cloudnative applications Lead incident response root cause analysis and reliability improvements to reduce service disruption and improve recovery times Drive cloud cost optimization and FinOps practices through resource governance rightsizing and utilization analysis Collaborate with security architecture and engineering teams to ensure secure platform patterns and enterprise compliance Mentor engineers and drive DevOps best practices automationfirst culture and platform standardization Your Skills: 10 years of experience in DevOps Cloud Platform Engineering SRE or related roles Strong handson expertise in Azure and GCP services architecture and operation Working knowledge of AWS for secondary multicloud support and integration use cases Advanced experience with CICD tools such as Azure DevOps GitHub Actions and Jenkins Deep Infrastructure as Code expertise with Terraform including module design and lifecycle management Strong containerization and orchestration experience with Docker and Kubernetes AKS and GKE preferred Mandatory handson experience with Nexus Repository Manager for artifact storage versioning security and pipeline integration Solid scripting and automation skills in Python Bash and PowerShell Strong cloud security knowledge including IAM RBAC secrets and key management encryption and network security controls Practical DevSecOps experience with vulnerability management and secure software supply chain practices Experience implementing monitoring and observability using tools such as Azure Monitor Google Cloud Operations Prometheus Grafana and centralized logging platforms Strong understanding of networking concepts including VNET VPC DNS ingress load balancing and private connectivity patterns Proven experience in regulated enterprise environments with strict governance change control and audit requirements Excellent communication stakeholder management and crossfunctional collaboration skills We are a Disability Confident Employer: Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government's Disability Confident scheme.As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who: Declare they have a disability, and Meet the minimum essential criteria for the role. Please opt in during the application process. Make It Real (what does it mean for you): You'd be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy. You will be empowered to explore, innovate, and progress. You will benefit from Capgemini's 'learning for life' mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more. You will be joining one of the World's Most Ethical Companies, as recognised by Ethisphere for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of. Why you should consider Capgemini: Growing clients' businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you'll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what's possible. It's why, together, we seek out opportunities that will transform the world's leading businesses, and it's how you'll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you'll build the skills you want. You'll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is. About Capgemini: Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.Make it real
29/07/2026
Full time
# Azure Cloud Engineer - Sheffield, UK - Fixed term contractManchesterApply for this job Permanent Experienced Professionals Software Engineering ID 525624-en\_GB Azure Cloud Engineer About the Job you are considering: Join Capgemini's Cloud & Custom Applications (C&CA) practice, where we Consult with Purpose, Continuously Evolve, and Architect Tomorrow. Seeking a highly skilled and experienced Senior Engineer with 10 years of experience to architect implement and manage secure cloud infrastructure automation frameworks and AIenabled application delivery across multicloud environments This role has a primary focus on Azure and GCP with secondary support for AWS The ideal candidate will bring deep expertise in Terraformbased Infrastructure as Code CICD Kubernetes DevSecOps Nexusbased artifact management and platform reliability with strong alignment to security compliance and governance standards in regulated environments such as banking and financial services Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time. Your Role: Architect and operate secure scalable and resilient cloud platforms across Azure and GCP while supporting AWS integrations and workloads where required Design and maintain endtoend CICD pipelines using Azure DevOps GitHub Actions Jenkins and cloudnative tooling Build reusable Infrastructure as Code modules and standards using Terraform with strong state management and deployment governance Deploy and manage container platforms and workloads across AKS and GKE as primary targets with practical support for EKS Own enterprise artifact lifecycle management using Nexus Azure Repos GitHub GitHub Enterprise GitHub Actions including repository strategy dependency governance retention and promotion controls Implement DevSecOps controls including SAST DAST dependency and container image scanning secrets management and policyascode Define release strategies environment promotion flows rollback mechanisms and auditready deployment processes Establish observability standards for logs metrics traces and proactive alerting across cloudnative applications Lead incident response root cause analysis and reliability improvements to reduce service disruption and improve recovery times Drive cloud cost optimization and FinOps practices through resource governance rightsizing and utilization analysis Collaborate with security architecture and engineering teams to ensure secure platform patterns and enterprise compliance Mentor engineers and drive DevOps best practices automationfirst culture and platform standardization Your Skills: 10 years of experience in DevOps Cloud Platform Engineering SRE or related roles Strong handson expertise in Azure and GCP services architecture and operation Working knowledge of AWS for secondary multicloud support and integration use cases Advanced experience with CICD tools such as Azure DevOps GitHub Actions and Jenkins Deep Infrastructure as Code expertise with Terraform including module design and lifecycle management Strong containerization and orchestration experience with Docker and Kubernetes AKS and GKE preferred Mandatory handson experience with Nexus Repository Manager for artifact storage versioning security and pipeline integration Solid scripting and automation skills in Python Bash and PowerShell Strong cloud security knowledge including IAM RBAC secrets and key management encryption and network security controls Practical DevSecOps experience with vulnerability management and secure software supply chain practices Experience implementing monitoring and observability using tools such as Azure Monitor Google Cloud Operations Prometheus Grafana and centralized logging platforms Strong understanding of networking concepts including VNET VPC DNS ingress load balancing and private connectivity patterns Proven experience in regulated enterprise environments with strict governance change control and audit requirements Excellent communication stakeholder management and crossfunctional collaboration skills We are a Disability Confident Employer: Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government's Disability Confident scheme.As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who: Declare they have a disability, and Meet the minimum essential criteria for the role. Please opt in during the application process. Make It Real (what does it mean for you): You'd be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy. You will be empowered to explore, innovate, and progress. You will benefit from Capgemini's 'learning for life' mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more. You will be joining one of the World's Most Ethical Companies, as recognised by Ethisphere for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of. Why you should consider Capgemini: Growing clients' businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you'll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what's possible. It's why, together, we seek out opportunities that will transform the world's leading businesses, and it's how you'll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you'll build the skills you want. You'll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is. About Capgemini: Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.Make it real
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. We offer: Tools and policies to support your work-life balance from flexible working approaches, sabbatical programs, paid paternity leave, maternity leave and an innovative maternity returners scheme More traditional benefits, such as 25 days holiday (in addition to public holidays), private medical, dental & optical cover, online shopping discounts, an Employee Assistance Program, life assurance and a group pension plan through salary sacrifice Your role and responsibilities As a Senior Security Consultant - Threat Management, you will help clients strengthen and modernise their Security Operations, Detection & Response, and Threat Management capabilities across cloud, hybrid, and on-premise environments. Working closely with client security teams, architects, and operational stakeholders, you will design and improve detection strategies, develop high-quality detection content, enhance SIEM/SOAR capabilities, and drive measurable security outcomes through threat-informed defence. You will operate as a trusted technical consultant, combining hands-on expertise with strong stakeholder engagement to deliver client-facing advisory, engineering, and transformation engagements. Key responsibilities include: Designing, implementing, and improving SIEM and security monitoring capabilities. Developing and tuning detection content, analytics rules, and correlation logic. Conducting threat hunting exercises aligned to MITRE ATT&CK and client threat profiles. Supporting incident response, investigation, and post-incident improvement activities. Delivering SOC maturity assessments, capability reviews, and uplift roadmaps. Integrating and optimising telemetry across cloud, identity, endpoint, network, and application environments. Designing and improving SOAR playbooks and automated response workflows. Advising clients on detection engineering standards, operational processes, and security monitoring strategy. Producing high-quality technical documentation, runbooks, operating procedures, and client deliverables. Leading workshops and presenting findings to both technical and non-technical stakeholders. Required technical and professional expertise Demonstrable experience within Threat Management, Detection Engineering, Security Operations, Incident Response, or Threat Hunting environments. Hands-on experience with one or more major SIEM platforms such as: Microsoft Sentinel Splunk QRadar Elastic Chronicle LogRhythm Experience developing detection logic, analytics rules, use cases, and threat hunting content. Strong understanding of MITRE ATT&CK and threat-informed defence principles. Experience supporting or leading incident investigation and response activities. Knowledge of cloud security monitoring across Azure, AWS, or GCP environments. Experience working with EDR/XDR technologies and associated telemetry. Proficiency in KQL, SPL, Python, PowerShell, or equivalent security-focused query/scripting languages. Ability to communicate effectively with both technical and business stakeholders. Experience operating within regulated environments such as public sector, financial services, healthcare, telecommunications, or critical national infrastructure. This role is subject to pre-employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personal Security Controls referred to as National Security Vetting (NVS) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). Preferred technical and professional experience Previous consulting or client-facing delivery experience. Experience delivering SOC transformation, SOC uplift, or Security Operations improvement programmes. Experience building, tuning, or optimising SOAR capabilities and automated response workflows. Experience conducting threat-led assessments, purple team exercises, or threat modelling activities. Experience with threat intelligence integration, enrichment pipelines, and intelligence-led detection development. Exposure to cloud-native security services such as: Microsoft Defender XDR Microsoft Sentinel AWS GuardDuty AWS Security Hub Google Security Operations Experience designing SIEM onboarding strategies, data normalisation approaches, or detection engineering frameworks. Understanding of detection-as-code, CI/CD pipelines, or modern security engineering practices. Relevant industry certifications such as: SC-200 AZ-500 GCIH GCIA GCDA Splunk ES certifications Microsoft Security certifications Experience leading technical workshops, mentoring junior consultants, or shaping client security roadmaps. 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, color, 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.
29/07/2026
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. We offer: Tools and policies to support your work-life balance from flexible working approaches, sabbatical programs, paid paternity leave, maternity leave and an innovative maternity returners scheme More traditional benefits, such as 25 days holiday (in addition to public holidays), private medical, dental & optical cover, online shopping discounts, an Employee Assistance Program, life assurance and a group pension plan through salary sacrifice Your role and responsibilities As a Senior Security Consultant - Threat Management, you will help clients strengthen and modernise their Security Operations, Detection & Response, and Threat Management capabilities across cloud, hybrid, and on-premise environments. Working closely with client security teams, architects, and operational stakeholders, you will design and improve detection strategies, develop high-quality detection content, enhance SIEM/SOAR capabilities, and drive measurable security outcomes through threat-informed defence. You will operate as a trusted technical consultant, combining hands-on expertise with strong stakeholder engagement to deliver client-facing advisory, engineering, and transformation engagements. Key responsibilities include: Designing, implementing, and improving SIEM and security monitoring capabilities. Developing and tuning detection content, analytics rules, and correlation logic. Conducting threat hunting exercises aligned to MITRE ATT&CK and client threat profiles. Supporting incident response, investigation, and post-incident improvement activities. Delivering SOC maturity assessments, capability reviews, and uplift roadmaps. Integrating and optimising telemetry across cloud, identity, endpoint, network, and application environments. Designing and improving SOAR playbooks and automated response workflows. Advising clients on detection engineering standards, operational processes, and security monitoring strategy. Producing high-quality technical documentation, runbooks, operating procedures, and client deliverables. Leading workshops and presenting findings to both technical and non-technical stakeholders. Required technical and professional expertise Demonstrable experience within Threat Management, Detection Engineering, Security Operations, Incident Response, or Threat Hunting environments. Hands-on experience with one or more major SIEM platforms such as: Microsoft Sentinel Splunk QRadar Elastic Chronicle LogRhythm Experience developing detection logic, analytics rules, use cases, and threat hunting content. Strong understanding of MITRE ATT&CK and threat-informed defence principles. Experience supporting or leading incident investigation and response activities. Knowledge of cloud security monitoring across Azure, AWS, or GCP environments. Experience working with EDR/XDR technologies and associated telemetry. Proficiency in KQL, SPL, Python, PowerShell, or equivalent security-focused query/scripting languages. Ability to communicate effectively with both technical and business stakeholders. Experience operating within regulated environments such as public sector, financial services, healthcare, telecommunications, or critical national infrastructure. This role is subject to pre-employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personal Security Controls referred to as National Security Vetting (NVS) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). Preferred technical and professional experience Previous consulting or client-facing delivery experience. Experience delivering SOC transformation, SOC uplift, or Security Operations improvement programmes. Experience building, tuning, or optimising SOAR capabilities and automated response workflows. Experience conducting threat-led assessments, purple team exercises, or threat modelling activities. Experience with threat intelligence integration, enrichment pipelines, and intelligence-led detection development. Exposure to cloud-native security services such as: Microsoft Defender XDR Microsoft Sentinel AWS GuardDuty AWS Security Hub Google Security Operations Experience designing SIEM onboarding strategies, data normalisation approaches, or detection engineering frameworks. Understanding of detection-as-code, CI/CD pipelines, or modern security engineering practices. Relevant industry certifications such as: SC-200 AZ-500 GCIH GCIA GCDA Splunk ES certifications Microsoft Security certifications Experience leading technical workshops, mentoring junior consultants, or shaping client security roadmaps. 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, color, 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.
