Mid-Level Software Developer - Android & Backend Location: Hybrid, UK-based, with a preference for candidates who can commute to our Wakefield, West Yorkshire HQ when required Contract: Full-time Salary: £40,000 - £50,000 per annum Department: Engineering About Boxbar Tech Boxbar Tech is an award-winning, high-growth technology company transforming the way drinks are served across stadiums, arenas, festivals, events and hospitality venues around the world. Our automated self service drinks technology helps our partners serve customers faster, reduce queues, improve drink quality and increase operational efficiency. Behind the physical hardware is a growing technology platform combining Android applications, cloud services, payment integrations, management software and real time data. We design, build, deploy and support our technology in live environments where performance and reliability genuinely matter. As Boxbar continues to scale, we are looking for a Mid-Level Software Developer who enjoys solving real world problems, working across a varied technology stack and taking ownership of features from initial design through to deployment. The Opportunity You will join a small, collaborative engineering team working across several products and technologies. No two weeks will be the same. You could be developing new features for our Android kiosk application, building backend services, integrating a new payment provider or investigating an issue involving hardware, software and networking. This is an excellent opportunity for a developer who enjoys broad technical challenges and wants the freedom to contribute ideas, influence technical decisions and see their work operating in major venues and events around the world. You will work closely with colleagues across Engineering, Product, Operations and Client Success to turn commercial and operational requirements into reliable, maintainable software. What You'll Be Doing Your responsibilities will include: Developing new features for our Android kiosk application Building and maintaining backend services and REST APIs Integrating third party payment providers and external platforms Working with cloud infrastructure and serverless technologies Supporting integrations between software, payment devices and physical hardware Investigating and resolving issues across applications, devices, hardware and networks Improving application performance, stability and reliability Contributing to architecture and technical design discussions Writing clean, testable and maintainable code Reviewing code and helping maintain high engineering standards Supporting deployment, monitoring and continuous improvement Working closely with Product and Operations teams to deliver new functionality Taking ownership of features from initial concept through to production What You'll Work On Projects may include: Android kiosk software Cloud APIs and backend systems AI assisted data analysis and internal insight tools Real time data processing Payment provider integrations Hardware and peripheral integrations Remote device management Internal operational tooling Application performance and reliability improvements About You We are looking for someone who: Enjoys learning and working with new technologies Takes ownership and follows work through to completion Approaches problems pragmatically Writes clean, maintainable code Is comfortable working independently while collaborating with a wider team Communicates technical information clearly Enjoys investigating complex problems rather than working within a narrow remit Can balance speed of delivery with quality and reliability Is comfortable in a fast moving scale up environment Wants to contribute ideas rather than simply implement specifications Essential Skills and Experience You will have experience in most of the following: Approximately three to five years of commercial software development experience Strong Java and/or Kotlin development skills Commercial Android application development Building or consuming REST APIs Working with SQL databases Git and collaborative source control workflows Object oriented programming principles Debugging complex software issues Writing clear, structured and maintainable code Managing your own workload and priorities Communicating effectively with both technical and non technical colleagues You do not need to have experience with every technology listed. Strong software engineering fundamentals, curiosity, and a willingness to learn are more important than matching the entire stack. Desirable Experience Experience in any of the following would be beneficial: AWS Serverless development using AWS Lambda or API Gateway PostgreSQL Firebase Docker Linux Python Node.js Networking fundamentals Payment integrations Bluetooth, USB or serial communications Embedded systems or IoT devices CI/CD pipelines GitHub Actions Applications interacting with physical hardware Remote monitoring or device management platforms Our Current Technology Stack Our current technology stack includes: Kotlin and Java Android AWS PostgreSQL Firebase Docker REST APIs GitHub Actions The stack will continue to evolve as the business and our products grow. Why Join Boxbar? Work on technology used in major stadiums, festivals, arenas and hospitality environments See the direct, real world impact of the software you build Take ownership of meaningful features and technical challenges Work across Android, backend, cloud, payments, data and hardware integrations Join a small team where your ideas and contributions will be visible Help shape engineering practices as the business scales Join an ambitious international technology company at an exciting stage of growth Interview Process Initial conversation with me on motivation, experience, communication and logistics Technical assessment around Android, backend, debugging and engineering judgement Final interview confirming ownership, collaboration and real world problem solving approach Equality and Inclusion Boxbar Tech is committed to creating an inclusive working environment and providing equal opportunities to all applicants. We welcome applications from people of all backgrounds and make employment decisions based on skills, experience, potential and suitability for the role. Please let us know should you require any reasonable adjustments during the recruitment process.
25/07/2026
Full time
Mid-Level Software Developer - Android & Backend Location: Hybrid, UK-based, with a preference for candidates who can commute to our Wakefield, West Yorkshire HQ when required Contract: Full-time Salary: £40,000 - £50,000 per annum Department: Engineering About Boxbar Tech Boxbar Tech is an award-winning, high-growth technology company transforming the way drinks are served across stadiums, arenas, festivals, events and hospitality venues around the world. Our automated self service drinks technology helps our partners serve customers faster, reduce queues, improve drink quality and increase operational efficiency. Behind the physical hardware is a growing technology platform combining Android applications, cloud services, payment integrations, management software and real time data. We design, build, deploy and support our technology in live environments where performance and reliability genuinely matter. As Boxbar continues to scale, we are looking for a Mid-Level Software Developer who enjoys solving real world problems, working across a varied technology stack and taking ownership of features from initial design through to deployment. The Opportunity You will join a small, collaborative engineering team working across several products and technologies. No two weeks will be the same. You could be developing new features for our Android kiosk application, building backend services, integrating a new payment provider or investigating an issue involving hardware, software and networking. This is an excellent opportunity for a developer who enjoys broad technical challenges and wants the freedom to contribute ideas, influence technical decisions and see their work operating in major venues and events around the world. You will work closely with colleagues across Engineering, Product, Operations and Client Success to turn commercial and operational requirements into reliable, maintainable software. What You'll Be Doing Your responsibilities will include: Developing new features for our Android kiosk application Building and maintaining backend services and REST APIs Integrating third party payment providers and external platforms Working with cloud infrastructure and serverless technologies Supporting integrations between software, payment devices and physical hardware Investigating and resolving issues across applications, devices, hardware and networks Improving application performance, stability and reliability Contributing to architecture and technical design discussions Writing clean, testable and maintainable code Reviewing code and helping maintain high engineering standards Supporting deployment, monitoring and continuous improvement Working closely with Product and Operations teams to deliver new functionality Taking ownership of features from initial concept through to production What You'll Work On Projects may include: Android kiosk software Cloud APIs and backend systems AI assisted data analysis and internal insight tools Real time data processing Payment provider integrations Hardware and peripheral integrations Remote device management Internal operational tooling Application performance and reliability improvements About You We are looking for someone who: Enjoys learning and working with new technologies Takes ownership and follows work through to completion Approaches problems pragmatically Writes clean, maintainable code Is comfortable working independently while collaborating with a wider team Communicates technical information clearly Enjoys investigating complex problems rather than working within a narrow remit Can balance speed of delivery with quality and reliability Is comfortable in a fast moving scale up environment Wants to contribute ideas rather than simply implement specifications Essential Skills and Experience You will have experience in most of the following: Approximately three to five years of commercial software development experience Strong Java and/or Kotlin development skills Commercial Android application development Building or consuming REST APIs Working with SQL databases Git and collaborative source control workflows Object oriented programming principles Debugging complex software issues Writing clear, structured and maintainable code Managing your own workload and priorities Communicating effectively with both technical and non technical colleagues You do not need to have experience with every technology listed. Strong software engineering fundamentals, curiosity, and a willingness to learn are more important than matching the entire stack. Desirable Experience Experience in any of the following would be beneficial: AWS Serverless development using AWS Lambda or API Gateway PostgreSQL Firebase Docker Linux Python Node.js Networking fundamentals Payment integrations Bluetooth, USB or serial communications Embedded systems or IoT devices CI/CD pipelines GitHub Actions Applications interacting with physical hardware Remote monitoring or device management platforms Our Current Technology Stack Our current technology stack includes: Kotlin and Java Android AWS PostgreSQL Firebase Docker REST APIs GitHub Actions The stack will continue to evolve as the business and our products grow. Why Join Boxbar? Work on technology used in major stadiums, festivals, arenas and hospitality environments See the direct, real world impact of the software you build Take ownership of meaningful features and technical challenges Work across Android, backend, cloud, payments, data and hardware integrations Join a small team where your ideas and contributions will be visible Help shape engineering practices as the business scales Join an ambitious international technology company at an exciting stage of growth Interview Process Initial conversation with me on motivation, experience, communication and logistics Technical assessment around Android, backend, debugging and engineering judgement Final interview confirming ownership, collaboration and real world problem solving approach Equality and Inclusion Boxbar Tech is committed to creating an inclusive working environment and providing equal opportunities to all applicants. We welcome applications from people of all backgrounds and make employment decisions based on skills, experience, potential and suitability for the role. Please let us know should you require any reasonable adjustments during the recruitment process.
Role: Senior Site Reliability Engineer (SRE) - Kubernetes / OpenShift Location: Remote - UK (possible paid occasional travel to TIG Secure site locations as required) Job Type: Full-time, Permanent (37.5 hours) Salary: Competitive + benefits + package Security Clearance Requirements Please note that holding a current Security Clearance is not essential at the time of application, but eligibility is required. This role requires the successful candidate to be eligible for Security Check (SC) clearance. To meet this requirement, applicants must: Have the right to work in the UK Have lived in the UK continuously for the past 5 years Not have spent more than 6 months outside the UK in total during that period Be willing to undergo security vetting as part of the onboarding process About You You're an experienced SRE, Platform Engineer or Cloud Engineer with strong hands on experience running Kubernetes in production environments. You're comfortable working across Linux, Kubernetes, cloud native tooling, automation, observability, CI/CD and infrastructure as code. You understand that reliability, security and operational maturity are critical to how modern platforms support engineering teams and customer facing services. You enjoy treating infrastructure as a product, automating repeatable work, improving resilience, and building platforms that other engineers can rely on. You're calm under pressure, methodical during incidents, and able to turn operational challenges into long term improvements. You may have worked in a regulated, secure, government, defence, financial services, telecoms, managed services or cloud native environment, but most importantly you have operated Kubernetes at depth and understand the realities of production ownership. You're a senior individual contributor who can mentor others, influence engineering practice, and provide technical authority without needing formal line management responsibility. About the Role We're looking for a Senior Site Reliability Engineer (SRE) to help operate, harden and mature our production OKD / Kubernetes platforms. This is a hands on engineering role focused on reliability, automation, observability, GitOps, CI/CD and secure platform operations. You'll work across the full stack, from bare metal and virtualisation through to Kubernetes control plane operations, ingress, identity, monitoring, developer platform tooling and application delivery. The role will play a key part in improving the operational maturity of our platform estate, supporting the migration from VMware to KVM, strengthening GitOps and CI/CD practices, and helping ensure our platforms remain secure, scalable and aligned to the needs of regulated customer environments. You'll work closely with platform, application, AI, networking, security, QA and architecture teams to build reliable foundations that enable other engineering teams to deliver safely and at pace. This is not a ticket handling role. It is a senior engineering position where you'll be expected to own problems, drive improvements, and help shape how TIG operates critical cloud native infrastructure. About the Team You'll be joining our Cloud team, working closely with Platform Engineering and wider engineering teams responsible for the foundational platforms on which TIG's services run. This is a great opportunity to join a small, senior technical environment where you can have direct ownership, meaningful influence, and visibility across modern platform engineering, Kubernetes, automation, observability, security and cloud native delivery. Key Responsibilities Operate, harden and extend production OpenShift / OKD / Kubernetes clusters across on premises and hybrid environments. Support the migration from VMware to KVM, helping modernise the underlying compute and storage layer. Own and improve CI/CD processes across the full lifecycle of platform and application components. Work with platform and application engineers to support cloud native delivery using tools such as Helm and Kustomize. Develop and mature GitOps deployment practices using tools such as Argo CD or Flux. Maintain and improve core platform services including identity, ingress, observability, certificate management, service mesh and container registry capabilities. Build and operate observability across logs, metrics, traces, alerting, SLOs and error budgets. Improve platform hardening in line with secure and regulated environment requirements, including network policy, SELinux, image provenance, secret management and audit. Automate repeatable operational tasks using tools such as Ansible, Terraform, Helm, Kustomize, Go, Python or equivalent technologies. Lead incident response activity, support blameless post mortems and drive systemic fixes. Partner with networking and security teams on platform integration, segmentation, load balancing and accreditation evidence. Create and maintain clear technical documentation, runbooks, design notes and operational guidance. Mentor other engineers and act as a senior technical authority across cloud and Kubernetes operations. Participate in an on call rota, with appropriate compensation. Success in This Role Looks Like A more reliable, secure and measurable production Kubernetes estate. Improved platform observability, with meaningful alerting, SLOs and trend data that engineering teams actively use. Progress against the VMware to KVM migration, with a clear and automated path for the underlying infrastructure layer. A mature GitOps approach covering platform and application components, including rollback, drift detection and operational control. Improved CI/CD practices that help teams move at pace while considering security, QA and compliance earlier in the lifecycle. Well documented, supportable and scalable platform services. Stronger incident response, clearer runbooks and post mortems that lead to real operational improvements. Recognition as a technical authority for Kubernetes, cloud and platform operations across the organisation. What We're Looking For We're looking for a Senior Site Reliability Engineer (SRE) with strong experience operating production Kubernetes environments. This role is well suited to someone who combines deep technical capability with strong operational discipline. You'll be comfortable taking ownership of complex platform challenges, improving reliability, and working collaboratively across engineering, security, networking and architecture teams. Essential Experience & Skills Strong experience running production Kubernetes environments, not just consuming or deploying into them. Strong Linux fundamentals, including systemd, networking, storage and performance troubleshooting. Experience with at least one Kubernetes distribution such as OKD, OpenShift, vanilla Kubernetes, Rancher, EKS, AKS or GKE. Solid infrastructure as code experience, including Ansible plus Terraform or equivalent, alongside tools such as Helm and Kustomize. GitOps and CI/CD experience managing full application and component lifecycles, using tools such as Argo CD, Flux, GitHub Actions or similar. Prometheus, Grafana, Elastic Stack / LGTM, OpenTelemetry or similar. Experience working with identity and access technologies such as OIDC, SAML, SCIM or Keycloak. Experience with virtualisation or infrastructure platforms such as KVM, libvirt or VMware. Scripting or tooling experience using Go, Python, shell scripting or similar. Strong troubleshooting, problem solving and analytical skills. Experience working in secure, regulated or enterprise scale environments. Strong communication skills, with the ability to produce clear documentation, runbooks, post mortems and technical guidance. Eligible to hold UK SC clearance. Desirable (Not Essential) Specific OpenShift or OKD experience, including operators, MachineConfig or SCCs. Service mesh experience such as Istio or Linkerd. Policy engine experience such as OPA, Gatekeeper or Kyverno. Cloud native application deployment experience using Helm, Terraform, Kustomize or similar. Storage experience such as Ceph, Longhorn, OpenShift Data Foundation or equivalent. Networking experience including BGP, VXLAN, Palo Alto or Juniper technologies. Software supply chain security experience, including SBOMs, image signing, admission control or tools such as Sigstore. Experience operating AI, ML or GPU enabled platforms. CKA, CKAD, CKS, Red Hat certifications or equivalent. Active or recent UK SC clearance. Recognised open source contributions to the Kubernetes ecosystem. Soft Skills & Behaviours Calm, structured and methodical under pressure. Strong written and verbal communication skills. Collaborative working style across platform, development, QA, security, networking and architecture teams. Strong sense of ownership and accountability. Automation first mindset, with a focus on removing repeatable manual work. Able to influence technical practice through evidence, example and credibility. Pragmatic and solutions focused approach to problem solving. Curious about why systems fail, not just how to bring them back online. . click apply for full job details
25/07/2026
Full time
Role: Senior Site Reliability Engineer (SRE) - Kubernetes / OpenShift Location: Remote - UK (possible paid occasional travel to TIG Secure site locations as required) Job Type: Full-time, Permanent (37.5 hours) Salary: Competitive + benefits + package Security Clearance Requirements Please note that holding a current Security Clearance is not essential at the time of application, but eligibility is required. This role requires the successful candidate to be eligible for Security Check (SC) clearance. To meet this requirement, applicants must: Have the right to work in the UK Have lived in the UK continuously for the past 5 years Not have spent more than 6 months outside the UK in total during that period Be willing to undergo security vetting as part of the onboarding process About You You're an experienced SRE, Platform Engineer or Cloud Engineer with strong hands on experience running Kubernetes in production environments. You're comfortable working across Linux, Kubernetes, cloud native tooling, automation, observability, CI/CD and infrastructure as code. You understand that reliability, security and operational maturity are critical to how modern platforms support engineering teams and customer facing services. You enjoy treating infrastructure as a product, automating repeatable work, improving resilience, and building platforms that other engineers can rely on. You're calm under pressure, methodical during incidents, and able to turn operational challenges into long term improvements. You may have worked in a regulated, secure, government, defence, financial services, telecoms, managed services or cloud native environment, but most importantly you have operated Kubernetes at depth and understand the realities of production ownership. You're a senior individual contributor who can mentor others, influence engineering practice, and provide technical authority without needing formal line management responsibility. About the Role We're looking for a Senior Site Reliability Engineer (SRE) to help operate, harden and mature our production OKD / Kubernetes platforms. This is a hands on engineering role focused on reliability, automation, observability, GitOps, CI/CD and secure platform operations. You'll work across the full stack, from bare metal and virtualisation through to Kubernetes control plane operations, ingress, identity, monitoring, developer platform tooling and application delivery. The role will play a key part in improving the operational maturity of our platform estate, supporting the migration from VMware to KVM, strengthening GitOps and CI/CD practices, and helping ensure our platforms remain secure, scalable and aligned to the needs of regulated customer environments. You'll work closely with platform, application, AI, networking, security, QA and architecture teams to build reliable foundations that enable other engineering teams to deliver safely and at pace. This is not a ticket handling role. It is a senior engineering position where you'll be expected to own problems, drive improvements, and help shape how TIG operates critical cloud native infrastructure. About the Team You'll be joining our Cloud team, working closely with Platform Engineering and wider engineering teams responsible for the foundational platforms on which TIG's services run. This is a great opportunity to join a small, senior technical environment where you can have direct ownership, meaningful influence, and visibility across modern platform engineering, Kubernetes, automation, observability, security and cloud native delivery. Key Responsibilities Operate, harden and extend production OpenShift / OKD / Kubernetes clusters across on premises and hybrid environments. Support the migration from VMware to KVM, helping modernise the underlying compute and storage layer. Own and improve CI/CD processes across the full lifecycle of platform and application components. Work with platform and application engineers to support cloud native delivery using tools such as Helm and Kustomize. Develop and mature GitOps deployment practices using tools such as Argo CD or Flux. Maintain and improve core platform services including identity, ingress, observability, certificate management, service mesh and container registry capabilities. Build and operate observability across logs, metrics, traces, alerting, SLOs and error budgets. Improve platform hardening in line with secure and regulated environment requirements, including network policy, SELinux, image provenance, secret management and audit. Automate repeatable operational tasks using tools such as Ansible, Terraform, Helm, Kustomize, Go, Python or equivalent technologies. Lead incident response activity, support blameless post mortems and drive systemic fixes. Partner with networking and security teams on platform integration, segmentation, load balancing and accreditation evidence. Create and maintain clear technical documentation, runbooks, design notes and operational guidance. Mentor other engineers and act as a senior technical authority across cloud and Kubernetes operations. Participate in an on call rota, with appropriate compensation. Success in This Role Looks Like A more reliable, secure and measurable production Kubernetes estate. Improved platform observability, with meaningful alerting, SLOs and trend data that engineering teams actively use. Progress against the VMware to KVM migration, with a clear and automated path for the underlying infrastructure layer. A mature GitOps approach covering platform and application components, including rollback, drift detection and operational control. Improved CI/CD practices that help teams move at pace while considering security, QA and compliance earlier in the lifecycle. Well documented, supportable and scalable platform services. Stronger incident response, clearer runbooks and post mortems that lead to real operational improvements. Recognition as a technical authority for Kubernetes, cloud and platform operations across the organisation. What We're Looking For We're looking for a Senior Site Reliability Engineer (SRE) with strong experience operating production Kubernetes environments. This role is well suited to someone who combines deep technical capability with strong operational discipline. You'll be comfortable taking ownership of complex platform challenges, improving reliability, and working collaboratively across engineering, security, networking and architecture teams. Essential Experience & Skills Strong experience running production Kubernetes environments, not just consuming or deploying into them. Strong Linux fundamentals, including systemd, networking, storage and performance troubleshooting. Experience with at least one Kubernetes distribution such as OKD, OpenShift, vanilla Kubernetes, Rancher, EKS, AKS or GKE. Solid infrastructure as code experience, including Ansible plus Terraform or equivalent, alongside tools such as Helm and Kustomize. GitOps and CI/CD experience managing full application and component lifecycles, using tools such as Argo CD, Flux, GitHub Actions or similar. Prometheus, Grafana, Elastic Stack / LGTM, OpenTelemetry or similar. Experience working with identity and access technologies such as OIDC, SAML, SCIM or Keycloak. Experience with virtualisation or infrastructure platforms such as KVM, libvirt or VMware. Scripting or tooling experience using Go, Python, shell scripting or similar. Strong troubleshooting, problem solving and analytical skills. Experience working in secure, regulated or enterprise scale environments. Strong communication skills, with the ability to produce clear documentation, runbooks, post mortems and technical guidance. Eligible to hold UK SC clearance. Desirable (Not Essential) Specific OpenShift or OKD experience, including operators, MachineConfig or SCCs. Service mesh experience such as Istio or Linkerd. Policy engine experience such as OPA, Gatekeeper or Kyverno. Cloud native application deployment experience using Helm, Terraform, Kustomize or similar. Storage experience such as Ceph, Longhorn, OpenShift Data Foundation or equivalent. Networking experience including BGP, VXLAN, Palo Alto or Juniper technologies. Software supply chain security experience, including SBOMs, image signing, admission control or tools such as Sigstore. Experience operating AI, ML or GPU enabled platforms. CKA, CKAD, CKS, Red Hat certifications or equivalent. Active or recent UK SC clearance. Recognised open source contributions to the Kubernetes ecosystem. Soft Skills & Behaviours Calm, structured and methodical under pressure. Strong written and verbal communication skills. Collaborative working style across platform, development, QA, security, networking and architecture teams. Strong sense of ownership and accountability. Automation first mindset, with a focus on removing repeatable manual work. Able to influence technical practice through evidence, example and credibility. Pragmatic and solutions focused approach to problem solving. Curious about why systems fail, not just how to bring them back online. . click apply for full job details
London, United Kingdom - Remote / Hybrid About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world's most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. Tripadvisor, the world's largest travel site, operates at scale with over 500 million reviews, opinions, photos, and videos reaching over 390 million unique visitors each month. We are a data driven company that leverages our data to empower our decisions. Tripadvisor is extremely excited to play a pivotal role in supporting our travellers. With travel plans dashed in early 2020, many people have been dreaming about their next big holiday for more than a year, so it's no surprise that travellers are extra conscious of getting it just right when they do travel. Helping to play an important role in enabling travellers is an amazing opportunity over the next year and beyond. Our data engineering team is looking to hire a Senior Data Engineer in the UK. The new Senior Data Engineer will be focused on delivering Tripadvisor's first-in-class data products that serve all data users across the organization. As a member of the Data Platform Enterprise Services Team, you will collaborate with engineering and business stakeholders to build, optimize, maintain, and secure the full data vertical including tracking instrumentation, information architecture, ETL pipelines, and tooling that provide key analytics insights for business-critical decisions at the highest levels of Product, Finance, Sales, CRM, Marketing, Data Science, and more. All in a dynamic environment of continuously modernizing tech stack including highly scalable architecture, cloud-based infrastructure, and real-time responsiveness. Tripadvisor provides a unique, global work environment that captures the speed, innovation and excitement of a startup, at a thriving, growing and well established industry brand. We take pride in our data engineering and are looking for a talented and highly motivated engineer with a passion for solving interesting problems to add to our high performing team. What You'll Do Providing the organization's data consumers high quality data sets by data curation, consolidation, and manipulation from a wide variety of large scale (terabyte and growing) sources. Building high quality data pipelines and ETL processes that interact with terabytes of data on leading platforms such as Snowflake and BigQuery. Developing and improving our enterprise data marts by creating efficient and scalable data models to be used across the organization. Partnering with our analytics, data science, crm, and machine learning teams for data solutions. Responsible for an enterprise data mart integrity, validation, and documentation. Responsible for the data pipelines' SLA and dependency management. Writing technical documentation for data solutions, and presenting at design reviews Solving data pipeline failure events and implementing sound anomaly detection Working with various teams from analytics to product owners and front end developers on tracking solutions and solving technical challenges Leading medium to large size projects in terms of writing technical specs and project planning Mentoring junior members of the team. Skills & Experience BS or MS degree in Computer Science or a related technical discipline 6+ years of data engineering or general software development experience Experience working with large datasets (terabyte scale and growing) and familiarity with various technologies and tooling associated with databases and big data: Big Data (i.e. Hadoop, Hive, BigQuery, Snowflake) Relational DB (MS SQL, PostgreSQL/MySQL) Comprehensive data design and data modeling experience Solid experience developing complex ETL processes from concept to implementation; these should include defining SLA, performance measurements and monitoring. Advanced query language and data exploration skills, proven record of writing complex SQL queries across large datasets. Systems performance and optimization experience, with an eye for how systems architecture and design impacts performance and scalability Experience in functional programming in Python or in an equivalent language Strong software engineering principles Self paced, organized, and detail oriented person with a strong sense of ownership Strong communication skills to effectively communicate with both business and technical teams. Ability to work in a fast paced and dynamic environment Proven record of technical leadership on planning and driving medium to large size projects and handling challenging deadlines. Strong interpersonal skills, intense curiosity, and an enthusiasm for solving difficult problems. Ability to break down complex problems into simple solutions. Ability to work with end users to solve technical challenges Comfortable owning the full data vertical and work autonomously Ability to mentor and support more junior members of the Team Nice to have Exposure to and/or interest in machine learning and data science specifically to help solve day to day problems and reach objectives in an innovative way Experience working with task orchestration tools, Airflow or similar systems Comfortable working in a Linux CLI environment Experience in designing high scale, fault tolerant and performant distributed applications Experience in developing and managing real time data pipelines Experience in programming languages such as Java or equivalent Experience with data governance. What We Offer Competitive compensation packages, including base salary, annual bonus, and more. "Work your way" with flexibility to suit your lifestyle. We take a remote friendly approach to collaboration, with the option to join on site as often as you'd like in select locations. Flexible schedule. Work life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We're here for you with resources and programs to help you through life's challenges. Health benefits. We offer great coverage and competitive premiums. Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates. Traveller first: We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. Execution is our edge: We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data driven, prioritised, and built to scale. We assume no problem is someone else's problem and finish what can be done today, knowing tomorrow will bring fresh challenges. We succeed together: The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements. Accessibility & Diversity We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at . If you have any additional questions about careers at Tripadvisor you can email us at . Equal Employment Opportunity Individuals seeking employment at Tripadvisor are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any characteristic protected by law. Tripadvisor is committed to creating an inclusive culture. If you choose to share this information, it will allow us to track the effectiveness of our recruiting efforts and to monitor the diversity of our applicant pool for all roles and levels. Please consider answering the following voluntary questions. Completion is entirely voluntary. Should you choose to answer any of the questions, your answers will not be considered in the hiring process or thereafter . click apply for full job details
24/07/2026
Full time
London, United Kingdom - Remote / Hybrid About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world's most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. Tripadvisor, the world's largest travel site, operates at scale with over 500 million reviews, opinions, photos, and videos reaching over 390 million unique visitors each month. We are a data driven company that leverages our data to empower our decisions. Tripadvisor is extremely excited to play a pivotal role in supporting our travellers. With travel plans dashed in early 2020, many people have been dreaming about their next big holiday for more than a year, so it's no surprise that travellers are extra conscious of getting it just right when they do travel. Helping to play an important role in enabling travellers is an amazing opportunity over the next year and beyond. Our data engineering team is looking to hire a Senior Data Engineer in the UK. The new Senior Data Engineer will be focused on delivering Tripadvisor's first-in-class data products that serve all data users across the organization. As a member of the Data Platform Enterprise Services Team, you will collaborate with engineering and business stakeholders to build, optimize, maintain, and secure the full data vertical including tracking instrumentation, information architecture, ETL pipelines, and tooling that provide key analytics insights for business-critical decisions at the highest levels of Product, Finance, Sales, CRM, Marketing, Data Science, and more. All in a dynamic environment of continuously modernizing tech stack including highly scalable architecture, cloud-based infrastructure, and real-time responsiveness. Tripadvisor provides a unique, global work environment that captures the speed, innovation and excitement of a startup, at a thriving, growing and well established industry brand. We take pride in our data engineering and are looking for a talented and highly motivated engineer with a passion for solving interesting problems to add to our high performing team. What You'll Do Providing the organization's data consumers high quality data sets by data curation, consolidation, and manipulation from a wide variety of large scale (terabyte and growing) sources. Building high quality data pipelines and ETL processes that interact with terabytes of data on leading platforms such as Snowflake and BigQuery. Developing and improving our enterprise data marts by creating efficient and scalable data models to be used across the organization. Partnering with our analytics, data science, crm, and machine learning teams for data solutions. Responsible for an enterprise data mart integrity, validation, and documentation. Responsible for the data pipelines' SLA and dependency management. Writing technical documentation for data solutions, and presenting at design reviews Solving data pipeline failure events and implementing sound anomaly detection Working with various teams from analytics to product owners and front end developers on tracking solutions and solving technical challenges Leading medium to large size projects in terms of writing technical specs and project planning Mentoring junior members of the team. Skills & Experience BS or MS degree in Computer Science or a related technical discipline 6+ years of data engineering or general software development experience Experience working with large datasets (terabyte scale and growing) and familiarity with various technologies and tooling associated with databases and big data: Big Data (i.e. Hadoop, Hive, BigQuery, Snowflake) Relational DB (MS SQL, PostgreSQL/MySQL) Comprehensive data design and data modeling experience Solid experience developing complex ETL processes from concept to implementation; these should include defining SLA, performance measurements and monitoring. Advanced query language and data exploration skills, proven record of writing complex SQL queries across large datasets. Systems performance and optimization experience, with an eye for how systems architecture and design impacts performance and scalability Experience in functional programming in Python or in an equivalent language Strong software engineering principles Self paced, organized, and detail oriented person with a strong sense of ownership Strong communication skills to effectively communicate with both business and technical teams. Ability to work in a fast paced and dynamic environment Proven record of technical leadership on planning and driving medium to large size projects and handling challenging deadlines. Strong interpersonal skills, intense curiosity, and an enthusiasm for solving difficult problems. Ability to break down complex problems into simple solutions. Ability to work with end users to solve technical challenges Comfortable owning the full data vertical and work autonomously Ability to mentor and support more junior members of the Team Nice to have Exposure to and/or interest in machine learning and data science specifically to help solve day to day problems and reach objectives in an innovative way Experience working with task orchestration tools, Airflow or similar systems Comfortable working in a Linux CLI environment Experience in designing high scale, fault tolerant and performant distributed applications Experience in developing and managing real time data pipelines Experience in programming languages such as Java or equivalent Experience with data governance. What We Offer Competitive compensation packages, including base salary, annual bonus, and more. "Work your way" with flexibility to suit your lifestyle. We take a remote friendly approach to collaboration, with the option to join on site as often as you'd like in select locations. Flexible schedule. Work life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We're here for you with resources and programs to help you through life's challenges. Health benefits. We offer great coverage and competitive premiums. Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates. Traveller first: We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. Execution is our edge: We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data driven, prioritised, and built to scale. We assume no problem is someone else's problem and finish what can be done today, knowing tomorrow will bring fresh challenges. We succeed together: The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements. Accessibility & Diversity We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at . If you have any additional questions about careers at Tripadvisor you can email us at . Equal Employment Opportunity Individuals seeking employment at Tripadvisor are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any characteristic protected by law. Tripadvisor is committed to creating an inclusive culture. If you choose to share this information, it will allow us to track the effectiveness of our recruiting efforts and to monitor the diversity of our applicant pool for all roles and levels. Please consider answering the following voluntary questions. Completion is entirely voluntary. Should you choose to answer any of the questions, your answers will not be considered in the hiring process or thereafter . click apply for full job details
A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long term career development while valuing your unique skills and experiences. In this role, you'll work in one of our IBM Consulting FutureNow Centers, where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your role and responsibilities The Opportunity IBM Consulting FutureNow UK is looking for curious, driven graduates to join as Associate Engineers. You will join collaborative delivery teams building the digital services that millions of citizens rely on every day - across central government - the kind of work where what you ship genuinely matters. From day one you will build with modern, AI-assisted engineering tools as a normal part of how we work - learning to design, code and ship alongside the latest agentic AI and developer tooling, not years down the line. By joining IBM Consulting FutureNow as an associate you will join it as part of a cohort - growing alongside peers who start their journey at the same time. Each Associate Engineer is paired with an experienced mentor and follows a structured development framework that builds toward Engineer, Senior Engineer and Technical Lead roles as your skills and specialism develop. Hybrid by default. Hybrid working is how we work day to day - you will balance time working from home with collaborating in person at one of the offices below, giving you flexibility while staying close to your team and mentor. Locations Gloucester London Winchester Applicants need to be in commutable distance from the above locations for these roles. Application Deadline 24th July 2026 Remote IBM Consulting engineers work across a range of technical disciplines. As an Associate Engineer, you will discover and develop your specialism over time in one of the following areas: Build and manage cloud-native infrastructure on IBM Cloud, AWS and Azure - the platforms that keep critical public services running. Software Engineer Develop the applications and services that power public sector organisations - front end, back end, APIs and integrations. Design large scale, interconnected systems and shape how components work together to deliver reliable solutions at scale. Bridge development and operations. Build CI/CD pipelines, automate deployments, and keep critical services running smoothly. Your Responsibilities As an Associate Engineer at IBM Consulting FutureNow, your day to day responsibilities could include: Engaging with clients to understand their needs and translating them into technical solution designs Designing, developing, and integrating application components across the full stack - front end, back end, and databases Writing clean, well structured, maintainable code and participating in collaborative code reviews Contributing to troubleshooting, performance optimisation, and test automation Working within agile delivery teams, including stand ups, retrospectives, and sprint planning Supporting technical colleagues and escalating to Technical Leads where appropriate Apply Now Applications close 24th July 2026 Assessment Centres Week of 7th Sep 2026 (tentatively) Required education Bachelor's Degree Requirements & Eligibility Education: Predicted or achieved 2:1 Bachelor's Degree in STEM, Economics, Statistics, or a related discipline. Right to Work: Because much of this work supports secure public sector environments, these roles require UK security clearance. To meet eligibility prerequisites, applicants must hold British nationality, and will typically need at least ten years continuous residence within UK. As an equal opportunities employer, IBM welcomes applications from individuals of all backgrounds. Visa Sponsorship: IBM does not currently offer visa sponsorship for this role. What Happens Next Our process is straightforward - apply online, complete a short online assessment, you will be then sent an Application Form that needs to be filled and sent back, then the shortlisted candidates will be invited to join us at an assessment centre to meet the team and show us how you think, with an offer following soon after for successful candidates. Assessment centre dates are fixed, so please check your availability before applying. What We Are Looking For We welcome applications from graduates who demonstrate the following: A genuine curiosity and enthusiasm for exploring how technology works and finding creative solutions Good written and verbal communication skills, with the confidence to collaborate with a team An eagerness to learn and a commitment to growing your skills over time Openness to feedback and a drive to apply it constructively The ability to work well in a collaborative, fast moving team environment Enthusiasm for working with new technology, including AI assisted development tools Technologies & Tools Prior knowledge of these technologies is not required. As an Associate Engineer, you will receive structured exposure to industry standard tools and platforms throughout your development: Programming Languages Java Python Terraform Frameworks & Tools Modern web and API frameworks SQL and NoSQL databases Version control with Git Agile and Scrum methodologies Test automation and Test Driven Development AI assisted development tooling OTHER RELEVANT JOB DETAILS Job Title Job ID: 122630 City / Township / Village: Hampshire, Gloucestershire, London, City of Country: United Kingdom Work arrangement: Hybrid Area of work: Software Engineering Employment type: Regular Position type: Entry Level Up to 80% or 4 days a week (home on weekends - based on project requirements) Company Shift: General (daytime) Is this role a commissionable/sales incentive based position? IBM 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, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
24/07/2026
Full time
A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long term career development while valuing your unique skills and experiences. In this role, you'll work in one of our IBM Consulting FutureNow Centers, where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your role and responsibilities The Opportunity IBM Consulting FutureNow UK is looking for curious, driven graduates to join as Associate Engineers. You will join collaborative delivery teams building the digital services that millions of citizens rely on every day - across central government - the kind of work where what you ship genuinely matters. From day one you will build with modern, AI-assisted engineering tools as a normal part of how we work - learning to design, code and ship alongside the latest agentic AI and developer tooling, not years down the line. By joining IBM Consulting FutureNow as an associate you will join it as part of a cohort - growing alongside peers who start their journey at the same time. Each Associate Engineer is paired with an experienced mentor and follows a structured development framework that builds toward Engineer, Senior Engineer and Technical Lead roles as your skills and specialism develop. Hybrid by default. Hybrid working is how we work day to day - you will balance time working from home with collaborating in person at one of the offices below, giving you flexibility while staying close to your team and mentor. Locations Gloucester London Winchester Applicants need to be in commutable distance from the above locations for these roles. Application Deadline 24th July 2026 Remote IBM Consulting engineers work across a range of technical disciplines. As an Associate Engineer, you will discover and develop your specialism over time in one of the following areas: Build and manage cloud-native infrastructure on IBM Cloud, AWS and Azure - the platforms that keep critical public services running. Software Engineer Develop the applications and services that power public sector organisations - front end, back end, APIs and integrations. Design large scale, interconnected systems and shape how components work together to deliver reliable solutions at scale. Bridge development and operations. Build CI/CD pipelines, automate deployments, and keep critical services running smoothly. Your Responsibilities As an Associate Engineer at IBM Consulting FutureNow, your day to day responsibilities could include: Engaging with clients to understand their needs and translating them into technical solution designs Designing, developing, and integrating application components across the full stack - front end, back end, and databases Writing clean, well structured, maintainable code and participating in collaborative code reviews Contributing to troubleshooting, performance optimisation, and test automation Working within agile delivery teams, including stand ups, retrospectives, and sprint planning Supporting technical colleagues and escalating to Technical Leads where appropriate Apply Now Applications close 24th July 2026 Assessment Centres Week of 7th Sep 2026 (tentatively) Required education Bachelor's Degree Requirements & Eligibility Education: Predicted or achieved 2:1 Bachelor's Degree in STEM, Economics, Statistics, or a related discipline. Right to Work: Because much of this work supports secure public sector environments, these roles require UK security clearance. To meet eligibility prerequisites, applicants must hold British nationality, and will typically need at least ten years continuous residence within UK. As an equal opportunities employer, IBM welcomes applications from individuals of all backgrounds. Visa Sponsorship: IBM does not currently offer visa sponsorship for this role. What Happens Next Our process is straightforward - apply online, complete a short online assessment, you will be then sent an Application Form that needs to be filled and sent back, then the shortlisted candidates will be invited to join us at an assessment centre to meet the team and show us how you think, with an offer following soon after for successful candidates. Assessment centre dates are fixed, so please check your availability before applying. What We Are Looking For We welcome applications from graduates who demonstrate the following: A genuine curiosity and enthusiasm for exploring how technology works and finding creative solutions Good written and verbal communication skills, with the confidence to collaborate with a team An eagerness to learn and a commitment to growing your skills over time Openness to feedback and a drive to apply it constructively The ability to work well in a collaborative, fast moving team environment Enthusiasm for working with new technology, including AI assisted development tools Technologies & Tools Prior knowledge of these technologies is not required. As an Associate Engineer, you will receive structured exposure to industry standard tools and platforms throughout your development: Programming Languages Java Python Terraform Frameworks & Tools Modern web and API frameworks SQL and NoSQL databases Version control with Git Agile and Scrum methodologies Test automation and Test Driven Development AI assisted development tooling OTHER RELEVANT JOB DETAILS Job Title Job ID: 122630 City / Township / Village: Hampshire, Gloucestershire, London, City of Country: United Kingdom Work arrangement: Hybrid Area of work: Software Engineering Employment type: Regular Position type: Entry Level Up to 80% or 4 days a week (home on weekends - based on project requirements) Company Shift: General (daytime) Is this role a commissionable/sales incentive based position? IBM 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, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Forward Deployed Engineer - Public sector, Nonprofit and EducationApplyremote type: Office - Flexiblelocations: United Kingdom - Londontime type: Full timeposted on: Posted Todayjob requisition id: JR348868 To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job CategorySalesJob Details About Salesforce Salesforce is the AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. About the Role Production experience required. Builder mindset non-negotiable. Salesforce is hiring Forward Deployed Engineers - experienced Technical Builders who design, build, and deploy agentic AI solutions directly inside enterprise customer environments. You'll work as part of a delivery team, partnering closely with a Deployment Strategist ( Strategic Builder - a customer-facing advisor who shapes AI strategy and drives adoption) to co-build solutions that go live in production environments from day one. Engagements range from a single large strategic customer to multiple accounts simultaneously. The common thread is real code, real environments, and measurable business impact. This work spans configuration, customisation, and full-stack deployment - shipping solutions customers depend on. By applying through this job posting, you will be assessed specifically for Global Public Sector (Government, Nonprofit and/or Education) opportunities. The Builder Experience AI-Powered Development: Ship real customer solutions, supported by best-in-class AI tools - Cursor, Claude, and Salesforce coding products like Vibes - embedded into your day-to-day workflow. Collaborative Delivery: You'll work alongside Senior Forward Deployed Engineers and a Deployment Strategist. You'll own real components, benefit from structured mentorship from people who've shipped agentic systems at scale, and have a clear path to leading complex deliveries yourself. Frontier Access: Our agentic AI platform is evolving in real time. You'll work on capabilities most engineers won't touch for months - spanning Agentforce, data, platform, and headless architectures and your field insight will feed directly to the product teams building them. Continuous Innovation: You'll be expected to stay at the forefront, experimenting with emerging AI tools, models, and frameworks, and sharing what you learn with your team and customers. What You'll Actually Be Building Develop AI agents and experiences that take real actions for real organisations. Our solutions are in production at some of the largest enterprises on the planet. The work matters because the customers depend on it. Design agent intelligence: prompts, reasoning, tool calls, and integration with customer systems, leveraging our Agentic AI platform and current LLM techniques. Own technical components end-to-end: from architecture choice to deployed, validated, and observable in production. Build and integrate data pipelines on Salesforce Data 360, Snowflake, Databricks, and customer data platforms. Model the data, ship the pipeline, validate the output Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes. Contribute to proofs-of-concept and MVPs that move from sketch to deployable in days, not months. Co-build alongside customers and partners, sharing best practices and enablement as you go. Leaving teams more capable after each engagement than before. Surface platform gaps, edge cases, and field insights to senior Engineers and the product team. Your real-world experience is the product feedback loop. Partner with the Deployment Strategist in your pod to translate customer business challenges into agentic solutions that actually ship. You're Our Forward Deployed Engineer If You have 3+ years of software engineering or technical delivery experience, with at least one production system you'd be proud to walk us through - ideally in an AI tech stack, full-stack development, or working with frontier models You have a degree in Computer Science or a related field You have prior customer-facing technical delivery experience (consulting, professional services, or forward deployed engineering) - this is a requirement, not a nice-to-have. You're fluent in at least one of Python, JavaScript/TypeScript, Java, or Apex - and willing to add to that list as the work demands. You've been hands-on with LLMs and prompt engineering. You can explain why a prompt failed and what you'd change. You understand data modeling, APIs, and integration patterns deeply enough to design them, not just consume them. You can hold your own in a room with sales teams and customer architects. You ship quality code and evaluate AI outputs with engineering rigor. You actively tinker with the evolving AI/data landscape - piloting new tools, experimenting with new models, and staying genuinely curious about what's coming next. You thrive in the group chat that's building something, not just talking about it. You're excited to travel 25% of the time, working directly alongside customers. Nice-to-Haves Salesforce platform experience or certifications (Administrator, Platform Developer I, Agentforce Specialist) Familiarity with agent frameworks (LangChain, LlamaIndex) and orchestration patterns Hands-on with cloud data platforms (Snowflake, Databricks, BigQuery) Experience across specialist AI delivery areas: data engineering, platform architecture, or headless deployments LI-YUnleash Your PotentialWhen you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.AccommodationsIf you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.We are a recognised Disability Confident member under the UK Government Disability Confident employer scheme. We are committed to providing an inclusive recruitment process and will offer an interview to disabled applicants who meet the essential criteria for the role. Applicants are welcome to opt-in to the interview scheme as part of the application process. If you would like to apply under the scheme, please click the link to the Accommodations Request Form above and scroll to the UK Disability Confident Scheme section within the form.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
24/07/2026
Full time
Forward Deployed Engineer - Public sector, Nonprofit and EducationApplyremote type: Office - Flexiblelocations: United Kingdom - Londontime type: Full timeposted on: Posted Todayjob requisition id: JR348868 To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job CategorySalesJob Details About Salesforce Salesforce is the AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. About the Role Production experience required. Builder mindset non-negotiable. Salesforce is hiring Forward Deployed Engineers - experienced Technical Builders who design, build, and deploy agentic AI solutions directly inside enterprise customer environments. You'll work as part of a delivery team, partnering closely with a Deployment Strategist ( Strategic Builder - a customer-facing advisor who shapes AI strategy and drives adoption) to co-build solutions that go live in production environments from day one. Engagements range from a single large strategic customer to multiple accounts simultaneously. The common thread is real code, real environments, and measurable business impact. This work spans configuration, customisation, and full-stack deployment - shipping solutions customers depend on. By applying through this job posting, you will be assessed specifically for Global Public Sector (Government, Nonprofit and/or Education) opportunities. The Builder Experience AI-Powered Development: Ship real customer solutions, supported by best-in-class AI tools - Cursor, Claude, and Salesforce coding products like Vibes - embedded into your day-to-day workflow. Collaborative Delivery: You'll work alongside Senior Forward Deployed Engineers and a Deployment Strategist. You'll own real components, benefit from structured mentorship from people who've shipped agentic systems at scale, and have a clear path to leading complex deliveries yourself. Frontier Access: Our agentic AI platform is evolving in real time. You'll work on capabilities most engineers won't touch for months - spanning Agentforce, data, platform, and headless architectures and your field insight will feed directly to the product teams building them. Continuous Innovation: You'll be expected to stay at the forefront, experimenting with emerging AI tools, models, and frameworks, and sharing what you learn with your team and customers. What You'll Actually Be Building Develop AI agents and experiences that take real actions for real organisations. Our solutions are in production at some of the largest enterprises on the planet. The work matters because the customers depend on it. Design agent intelligence: prompts, reasoning, tool calls, and integration with customer systems, leveraging our Agentic AI platform and current LLM techniques. Own technical components end-to-end: from architecture choice to deployed, validated, and observable in production. Build and integrate data pipelines on Salesforce Data 360, Snowflake, Databricks, and customer data platforms. Model the data, ship the pipeline, validate the output Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes. Contribute to proofs-of-concept and MVPs that move from sketch to deployable in days, not months. Co-build alongside customers and partners, sharing best practices and enablement as you go. Leaving teams more capable after each engagement than before. Surface platform gaps, edge cases, and field insights to senior Engineers and the product team. Your real-world experience is the product feedback loop. Partner with the Deployment Strategist in your pod to translate customer business challenges into agentic solutions that actually ship. You're Our Forward Deployed Engineer If You have 3+ years of software engineering or technical delivery experience, with at least one production system you'd be proud to walk us through - ideally in an AI tech stack, full-stack development, or working with frontier models You have a degree in Computer Science or a related field You have prior customer-facing technical delivery experience (consulting, professional services, or forward deployed engineering) - this is a requirement, not a nice-to-have. You're fluent in at least one of Python, JavaScript/TypeScript, Java, or Apex - and willing to add to that list as the work demands. You've been hands-on with LLMs and prompt engineering. You can explain why a prompt failed and what you'd change. You understand data modeling, APIs, and integration patterns deeply enough to design them, not just consume them. You can hold your own in a room with sales teams and customer architects. You ship quality code and evaluate AI outputs with engineering rigor. You actively tinker with the evolving AI/data landscape - piloting new tools, experimenting with new models, and staying genuinely curious about what's coming next. You thrive in the group chat that's building something, not just talking about it. You're excited to travel 25% of the time, working directly alongside customers. Nice-to-Haves Salesforce platform experience or certifications (Administrator, Platform Developer I, Agentforce Specialist) Familiarity with agent frameworks (LangChain, LlamaIndex) and orchestration patterns Hands-on with cloud data platforms (Snowflake, Databricks, BigQuery) Experience across specialist AI delivery areas: data engineering, platform architecture, or headless deployments LI-YUnleash Your PotentialWhen you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.AccommodationsIf you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.We are a recognised Disability Confident member under the UK Government Disability Confident employer scheme. We are committed to providing an inclusive recruitment process and will offer an interview to disabled applicants who meet the essential criteria for the role. Applicants are welcome to opt-in to the interview scheme as part of the application process. If you would like to apply under the scheme, please click the link to the Accommodations Request Form above and scroll to the UK Disability Confident Scheme section within the form.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: Reddit has a flexible first workforce. Don't live near our office? No worries: you can work remotely from anywhere in the UK, the Netherlands or Ireland. The Ads organization powers Reddit's advertising platform, enabling advertisers to reach highly engaged communities while helping Reddit grow its business. The reliability of our Ads systems directly impacts advertiser success, revenue generation, and user experience. The Ads Reliability team partners closely with Ads Engineering teams to improve reliability, scalability, operational excellence, and developer productivity across Reddit's advertising ecosystem. What you'll do: Lead reliability initiatives across multiple Ads domains including ad serving, auctions, targeting, reporting, measurement, and billing. Partner with engineering leadership to improve reliability, scalability, operational excellence, and engineering efficiency across the Ads organization. Drive architecture reviews and influence technical decisions impacting critical revenue-generating systems. Design and build platforms, tooling, and automation that improve reliability and developer productivity at scale. Participate in on-call rotations, lead complex incident investigations and coordinate cross-functional response efforts during major production events. Identify systemic reliability risks and drive long term solutions that improve platform resilience. Establish reliability metrics around advertiser critical user journeys such as campaign creation, ad delivery, auction participation, reporting, attribution, and billing. Mentor engineers and provide technical leadership across multiple teams. Influence roadmap planning and ensure reliability considerations are incorporated into product and infrastructure investments. What We're Looking For: 8+ years of experience in Site Reliability Engineering, Infrastructure Engineering, or related roles operating large scale distributed systems. Strong experience supporting high traffic, user facing production environments. Deep understanding of distributed systems, networking, Linux systems, cloud native architectures. Experience designing highly available systems with strong operational and reliability practices. Strong understanding of observability systems including metrics, logging, tracing, and alerting. Good programming skills in languages such as Go, Python, or similar. Experience improving reliability through SLOs, automation, incident management, and performance optimization. Demonstrated ability to troubleshoot complex issues across a modern distributed system stack. Strong collaboration and communication skills with the ability to influence technical direction across teams. Nice to Have: Experience supporting advertising technology platforms or other large-scale revenue-critical systems. Deep understanding of reliability challenges associated with ad serving, real time auctions, budget pacing, campaign delivery, measurement, attribution, or billing systems. Experience operating high QPS, low latency services where latency directly impacts business outcomes. Experience establishing reliability programs that deliver meaningful, measurable business outcomes. Experience with Kubernetes, cloud infrastructure, and large-scale distributed systems. Familiarity with Kafka, ClickHouse, Spark, Flink, BigQuery, or similar large-scale data platforms. Experience partnering with Product, Data Science, and Ads Engineering organizations. Experience supporting machine learning inference or recommendation systems at scale. Benefits: Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender Affirming Care Mental Health & Coaching Benefits Group Personal Pension Scheme with Employer match Private Medical and Dental Scheme Income Replacement Programs Bike to Work scheme Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
23/07/2026
Full time
Location: Reddit has a flexible first workforce. Don't live near our office? No worries: you can work remotely from anywhere in the UK, the Netherlands or Ireland. The Ads organization powers Reddit's advertising platform, enabling advertisers to reach highly engaged communities while helping Reddit grow its business. The reliability of our Ads systems directly impacts advertiser success, revenue generation, and user experience. The Ads Reliability team partners closely with Ads Engineering teams to improve reliability, scalability, operational excellence, and developer productivity across Reddit's advertising ecosystem. What you'll do: Lead reliability initiatives across multiple Ads domains including ad serving, auctions, targeting, reporting, measurement, and billing. Partner with engineering leadership to improve reliability, scalability, operational excellence, and engineering efficiency across the Ads organization. Drive architecture reviews and influence technical decisions impacting critical revenue-generating systems. Design and build platforms, tooling, and automation that improve reliability and developer productivity at scale. Participate in on-call rotations, lead complex incident investigations and coordinate cross-functional response efforts during major production events. Identify systemic reliability risks and drive long term solutions that improve platform resilience. Establish reliability metrics around advertiser critical user journeys such as campaign creation, ad delivery, auction participation, reporting, attribution, and billing. Mentor engineers and provide technical leadership across multiple teams. Influence roadmap planning and ensure reliability considerations are incorporated into product and infrastructure investments. What We're Looking For: 8+ years of experience in Site Reliability Engineering, Infrastructure Engineering, or related roles operating large scale distributed systems. Strong experience supporting high traffic, user facing production environments. Deep understanding of distributed systems, networking, Linux systems, cloud native architectures. Experience designing highly available systems with strong operational and reliability practices. Strong understanding of observability systems including metrics, logging, tracing, and alerting. Good programming skills in languages such as Go, Python, or similar. Experience improving reliability through SLOs, automation, incident management, and performance optimization. Demonstrated ability to troubleshoot complex issues across a modern distributed system stack. Strong collaboration and communication skills with the ability to influence technical direction across teams. Nice to Have: Experience supporting advertising technology platforms or other large-scale revenue-critical systems. Deep understanding of reliability challenges associated with ad serving, real time auctions, budget pacing, campaign delivery, measurement, attribution, or billing systems. Experience operating high QPS, low latency services where latency directly impacts business outcomes. Experience establishing reliability programs that deliver meaningful, measurable business outcomes. Experience with Kubernetes, cloud infrastructure, and large-scale distributed systems. Familiarity with Kafka, ClickHouse, Spark, Flink, BigQuery, or similar large-scale data platforms. Experience partnering with Product, Data Science, and Ads Engineering organizations. Experience supporting machine learning inference or recommendation systems at scale. Benefits: Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender Affirming Care Mental Health & Coaching Benefits Group Personal Pension Scheme with Employer match Private Medical and Dental Scheme Income Replacement Programs Bike to Work scheme Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Overview Lead Cloud Platform Engineer role at i.AI (Incubator for AI) to help design, build and operate the cloud platform that powers AI product delivery. This is a hands-on technical leadership position focused on modern cloud infrastructure, security, and scalable platform capabilities to enable production AI systems in government contexts. The role offers high autonomy within a flat engineering structure and opportunities to shape platform direction with strong engineering judgement. Responsibilities End to end platform engineering: own the technical delivery of platform initiatives from concept through to production, making architectural decisions and building secure, scalable cloud components that teams can depend on. Platform as a product: design capabilities that improve the developer experience, creating reusable patterns for local development, pipelines, environments, observability, and operational ergonomics to accelerate shipping with less friction. AI workload enablement: support production AI systems and agentic workloads; build and maintain platform capabilities for model access, routing, tracing, evaluation, reliability, and cost control. Intelligent automation and security: treat security as a first-class concern with automated controls for software supply chain security, secrets management and policy as code; use GenAI to reduce operational toil, introduce intelligent guardrails, and streamline developer workflows. Technical leadership: shape platform direction through engineering judgement and hands-on delivery, mentor engineers, promote better patterns, and balance needs of individual teams with platform-wide coherence. What you will thrive on Strong hands-on experience building and operating production cloud platforms, with AWS preferred. Deep understanding of platform architecture, distributed systems, networking, and reliability concepts (SLOs, tracing, alerting). Interest in applying GenAI/LLM tooling to reduce operational work and improve resilience. Experience embedding security into delivery workflows, including software supply chain security, IAM, threat modelling, and policy as code. Experience supporting AI/ML systems in production (model serving, MLOps, agentic orchestration, or prompt/inference cost trade-offs). Proficiency in software development and infrastructure automation; track record of reusable patterns and engineering standards. Strong ownership, judgement, and ability to operate in a flat, high-agency team; product mindset with emphasis on developer experience. Ability to coach others and raise technical standards. What we offer Career-defining projects with outsized impact and opportunities to apply technology to transform the public sector. Access to frontier models, compute resources, and a supportive, mission-driven team. Growth and empowerment: learning and development 5 days off, annual stipends, conference funding, and opportunities to own important products early. Life and family benefits: hybrid working in London, Manchester, or Bristol with occasional remote work abroad, generous leave, parental leave, and pension contributions. Our stack Cloud infrastructure: AWS (ECS, Lambda, CloudFront, RDS, S3) with multi-cloud patterns across Azure and GCP. Containerisation and delivery: Docker, container orchestration, GitHub Actions, and deployment patterns (rolling, canary, blue-green). Development: Terraform, Python with FastAPI, JavaScript/TypeScript with Next.js, Astro, Node.js. AI platform layer: tooling for model routing, tracing, evaluation (LiteLLM, Langfuse) with LangGraph, DSPy, Inspect. AI harness: OpenCode and Claude Code; access to frontier models from OpenAI, Anthropic, Google. Observability: AWS CloudWatch, Grafana, Sentry, X Ray. Security: SAST, SCA, SBOMs, policy as code, CSPM, DAST, and automated IAM/secrets management. Selection Process UK government clearance process with sponsorship if needed. Stages include a short initial conversation, technical take-home test, and multiple interviews with the team and senior representation. Diversity and Inclusion information and privacy notices are provided as part of the process. Salary: £69,675 - £90,756 GBP (GDAD role, with position within the grade range and non-pensionable allowances as applicable).
23/07/2026
Full time
Overview Lead Cloud Platform Engineer role at i.AI (Incubator for AI) to help design, build and operate the cloud platform that powers AI product delivery. This is a hands-on technical leadership position focused on modern cloud infrastructure, security, and scalable platform capabilities to enable production AI systems in government contexts. The role offers high autonomy within a flat engineering structure and opportunities to shape platform direction with strong engineering judgement. Responsibilities End to end platform engineering: own the technical delivery of platform initiatives from concept through to production, making architectural decisions and building secure, scalable cloud components that teams can depend on. Platform as a product: design capabilities that improve the developer experience, creating reusable patterns for local development, pipelines, environments, observability, and operational ergonomics to accelerate shipping with less friction. AI workload enablement: support production AI systems and agentic workloads; build and maintain platform capabilities for model access, routing, tracing, evaluation, reliability, and cost control. Intelligent automation and security: treat security as a first-class concern with automated controls for software supply chain security, secrets management and policy as code; use GenAI to reduce operational toil, introduce intelligent guardrails, and streamline developer workflows. Technical leadership: shape platform direction through engineering judgement and hands-on delivery, mentor engineers, promote better patterns, and balance needs of individual teams with platform-wide coherence. What you will thrive on Strong hands-on experience building and operating production cloud platforms, with AWS preferred. Deep understanding of platform architecture, distributed systems, networking, and reliability concepts (SLOs, tracing, alerting). Interest in applying GenAI/LLM tooling to reduce operational work and improve resilience. Experience embedding security into delivery workflows, including software supply chain security, IAM, threat modelling, and policy as code. Experience supporting AI/ML systems in production (model serving, MLOps, agentic orchestration, or prompt/inference cost trade-offs). Proficiency in software development and infrastructure automation; track record of reusable patterns and engineering standards. Strong ownership, judgement, and ability to operate in a flat, high-agency team; product mindset with emphasis on developer experience. Ability to coach others and raise technical standards. What we offer Career-defining projects with outsized impact and opportunities to apply technology to transform the public sector. Access to frontier models, compute resources, and a supportive, mission-driven team. Growth and empowerment: learning and development 5 days off, annual stipends, conference funding, and opportunities to own important products early. Life and family benefits: hybrid working in London, Manchester, or Bristol with occasional remote work abroad, generous leave, parental leave, and pension contributions. Our stack Cloud infrastructure: AWS (ECS, Lambda, CloudFront, RDS, S3) with multi-cloud patterns across Azure and GCP. Containerisation and delivery: Docker, container orchestration, GitHub Actions, and deployment patterns (rolling, canary, blue-green). Development: Terraform, Python with FastAPI, JavaScript/TypeScript with Next.js, Astro, Node.js. AI platform layer: tooling for model routing, tracing, evaluation (LiteLLM, Langfuse) with LangGraph, DSPy, Inspect. AI harness: OpenCode and Claude Code; access to frontier models from OpenAI, Anthropic, Google. Observability: AWS CloudWatch, Grafana, Sentry, X Ray. Security: SAST, SCA, SBOMs, policy as code, CSPM, DAST, and automated IAM/secrets management. Selection Process UK government clearance process with sponsorship if needed. Stages include a short initial conversation, technical take-home test, and multiple interviews with the team and senior representation. Diversity and Inclusion information and privacy notices are provided as part of the process. Salary: £69,675 - £90,756 GBP (GDAD role, with position within the grade range and non-pensionable allowances as applicable).
Overview Lead Cloud Platform Engineer role at i.AI (Incubator for AI) to help design, build and operate the cloud platform that powers AI product delivery. This is a hands-on technical leadership position focused on modern cloud infrastructure, security, and scalable platform capabilities to enable production AI systems in government contexts. The role offers high autonomy within a flat engineering structure and opportunities to shape platform direction with strong engineering judgement. Responsibilities End to end platform engineering: own the technical delivery of platform initiatives from concept through to production, making architectural decisions and building secure, scalable cloud components that teams can depend on. Platform as a product: design capabilities that improve the developer experience, creating reusable patterns for local development, pipelines, environments, observability, and operational ergonomics to accelerate shipping with less friction. AI workload enablement: support production AI systems and agentic workloads; build and maintain platform capabilities for model access, routing, tracing, evaluation, reliability, and cost control. Intelligent automation and security: treat security as a first-class concern with automated controls for software supply chain security, secrets management and policy as code; use GenAI to reduce operational toil, introduce intelligent guardrails, and streamline developer workflows. Technical leadership: shape platform direction through engineering judgement and hands-on delivery, mentor engineers, promote better patterns, and balance needs of individual teams with platform-wide coherence. What you will thrive on Strong hands-on experience building and operating production cloud platforms, with AWS preferred. Deep understanding of platform architecture, distributed systems, networking, and reliability concepts (SLOs, tracing, alerting). Interest in applying GenAI/LLM tooling to reduce operational work and improve resilience. Experience embedding security into delivery workflows, including software supply chain security, IAM, threat modelling, and policy as code. Experience supporting AI/ML systems in production (model serving, MLOps, agentic orchestration, or prompt/inference cost trade-offs). Proficiency in software development and infrastructure automation; track record of reusable patterns and engineering standards. Strong ownership, judgement, and ability to operate in a flat, high-agency team; product mindset with emphasis on developer experience. Ability to coach others and raise technical standards. What we offer Career-defining projects with outsized impact and opportunities to apply technology to transform the public sector. Access to frontier models, compute resources, and a supportive, mission-driven team. Growth and empowerment: learning and development 5 days off, annual stipends, conference funding, and opportunities to own important products early. Life and family benefits: hybrid working in London, Manchester, or Bristol with occasional remote work abroad, generous leave, parental leave, and pension contributions. Our stack Cloud infrastructure: AWS (ECS, Lambda, CloudFront, RDS, S3) with multi-cloud patterns across Azure and GCP. Containerisation and delivery: Docker, container orchestration, GitHub Actions, and deployment patterns (rolling, canary, blue-green). Development: Terraform, Python with FastAPI, JavaScript/TypeScript with Next.js, Astro, Node.js. AI platform layer: tooling for model routing, tracing, evaluation (LiteLLM, Langfuse) with LangGraph, DSPy, Inspect. AI harness: OpenCode and Claude Code; access to frontier models from OpenAI, Anthropic, Google. Observability: AWS CloudWatch, Grafana, Sentry, X Ray. Security: SAST, SCA, SBOMs, policy as code, CSPM, DAST, and automated IAM/secrets management. Selection Process UK government clearance process with sponsorship if needed. Stages include a short initial conversation, technical take-home test, and multiple interviews with the team and senior representation. Diversity and Inclusion information and privacy notices are provided as part of the process. Salary: £69,675 - £90,756 GBP (GDAD role, with position within the grade range and non-pensionable allowances as applicable).
23/07/2026
Full time
Overview Lead Cloud Platform Engineer role at i.AI (Incubator for AI) to help design, build and operate the cloud platform that powers AI product delivery. This is a hands-on technical leadership position focused on modern cloud infrastructure, security, and scalable platform capabilities to enable production AI systems in government contexts. The role offers high autonomy within a flat engineering structure and opportunities to shape platform direction with strong engineering judgement. Responsibilities End to end platform engineering: own the technical delivery of platform initiatives from concept through to production, making architectural decisions and building secure, scalable cloud components that teams can depend on. Platform as a product: design capabilities that improve the developer experience, creating reusable patterns for local development, pipelines, environments, observability, and operational ergonomics to accelerate shipping with less friction. AI workload enablement: support production AI systems and agentic workloads; build and maintain platform capabilities for model access, routing, tracing, evaluation, reliability, and cost control. Intelligent automation and security: treat security as a first-class concern with automated controls for software supply chain security, secrets management and policy as code; use GenAI to reduce operational toil, introduce intelligent guardrails, and streamline developer workflows. Technical leadership: shape platform direction through engineering judgement and hands-on delivery, mentor engineers, promote better patterns, and balance needs of individual teams with platform-wide coherence. What you will thrive on Strong hands-on experience building and operating production cloud platforms, with AWS preferred. Deep understanding of platform architecture, distributed systems, networking, and reliability concepts (SLOs, tracing, alerting). Interest in applying GenAI/LLM tooling to reduce operational work and improve resilience. Experience embedding security into delivery workflows, including software supply chain security, IAM, threat modelling, and policy as code. Experience supporting AI/ML systems in production (model serving, MLOps, agentic orchestration, or prompt/inference cost trade-offs). Proficiency in software development and infrastructure automation; track record of reusable patterns and engineering standards. Strong ownership, judgement, and ability to operate in a flat, high-agency team; product mindset with emphasis on developer experience. Ability to coach others and raise technical standards. What we offer Career-defining projects with outsized impact and opportunities to apply technology to transform the public sector. Access to frontier models, compute resources, and a supportive, mission-driven team. Growth and empowerment: learning and development 5 days off, annual stipends, conference funding, and opportunities to own important products early. Life and family benefits: hybrid working in London, Manchester, or Bristol with occasional remote work abroad, generous leave, parental leave, and pension contributions. Our stack Cloud infrastructure: AWS (ECS, Lambda, CloudFront, RDS, S3) with multi-cloud patterns across Azure and GCP. Containerisation and delivery: Docker, container orchestration, GitHub Actions, and deployment patterns (rolling, canary, blue-green). Development: Terraform, Python with FastAPI, JavaScript/TypeScript with Next.js, Astro, Node.js. AI platform layer: tooling for model routing, tracing, evaluation (LiteLLM, Langfuse) with LangGraph, DSPy, Inspect. AI harness: OpenCode and Claude Code; access to frontier models from OpenAI, Anthropic, Google. Observability: AWS CloudWatch, Grafana, Sentry, X Ray. Security: SAST, SCA, SBOMs, policy as code, CSPM, DAST, and automated IAM/secrets management. Selection Process UK government clearance process with sponsorship if needed. Stages include a short initial conversation, technical take-home test, and multiple interviews with the team and senior representation. Diversity and Inclusion information and privacy notices are provided as part of the process. Salary: £69,675 - £90,756 GBP (GDAD role, with position within the grade range and non-pensionable allowances as applicable).
Overview Lead Cloud Platform Engineer role at i.AI (Incubator for AI) to help design, build and operate the cloud platform that powers AI product delivery. This is a hands-on technical leadership position focused on modern cloud infrastructure, security, and scalable platform capabilities to enable production AI systems in government contexts. The role offers high autonomy within a flat engineering structure and opportunities to shape platform direction with strong engineering judgement. Responsibilities End to end platform engineering: own the technical delivery of platform initiatives from concept through to production, making architectural decisions and building secure, scalable cloud components that teams can depend on. Platform as a product: design capabilities that improve the developer experience, creating reusable patterns for local development, pipelines, environments, observability, and operational ergonomics to accelerate shipping with less friction. AI workload enablement: support production AI systems and agentic workloads; build and maintain platform capabilities for model access, routing, tracing, evaluation, reliability, and cost control. Intelligent automation and security: treat security as a first-class concern with automated controls for software supply chain security, secrets management and policy as code; use GenAI to reduce operational toil, introduce intelligent guardrails, and streamline developer workflows. Technical leadership: shape platform direction through engineering judgement and hands-on delivery, mentor engineers, promote better patterns, and balance needs of individual teams with platform-wide coherence. What you will thrive on Strong hands-on experience building and operating production cloud platforms, with AWS preferred. Deep understanding of platform architecture, distributed systems, networking, and reliability concepts (SLOs, tracing, alerting). Interest in applying GenAI/LLM tooling to reduce operational work and improve resilience. Experience embedding security into delivery workflows, including software supply chain security, IAM, threat modelling, and policy as code. Experience supporting AI/ML systems in production (model serving, MLOps, agentic orchestration, or prompt/inference cost trade-offs). Proficiency in software development and infrastructure automation; track record of reusable patterns and engineering standards. Strong ownership, judgement, and ability to operate in a flat, high-agency team; product mindset with emphasis on developer experience. Ability to coach others and raise technical standards. What we offer Career-defining projects with outsized impact and opportunities to apply technology to transform the public sector. Access to frontier models, compute resources, and a supportive, mission-driven team. Growth and empowerment: learning and development 5 days off, annual stipends, conference funding, and opportunities to own important products early. Life and family benefits: hybrid working in London, Manchester, or Bristol with occasional remote work abroad, generous leave, parental leave, and pension contributions. Our stack Cloud infrastructure: AWS (ECS, Lambda, CloudFront, RDS, S3) with multi-cloud patterns across Azure and GCP. Containerisation and delivery: Docker, container orchestration, GitHub Actions, and deployment patterns (rolling, canary, blue-green). Development: Terraform, Python with FastAPI, JavaScript/TypeScript with Next.js, Astro, Node.js. AI platform layer: tooling for model routing, tracing, evaluation (LiteLLM, Langfuse) with LangGraph, DSPy, Inspect. AI harness: OpenCode and Claude Code; access to frontier models from OpenAI, Anthropic, Google. Observability: AWS CloudWatch, Grafana, Sentry, X Ray. Security: SAST, SCA, SBOMs, policy as code, CSPM, DAST, and automated IAM/secrets management. Selection Process UK government clearance process with sponsorship if needed. Stages include a short initial conversation, technical take-home test, and multiple interviews with the team and senior representation. Diversity and Inclusion information and privacy notices are provided as part of the process. Salary: £69,675 - £90,756 GBP (GDAD role, with position within the grade range and non-pensionable allowances as applicable).
23/07/2026
Full time
Overview Lead Cloud Platform Engineer role at i.AI (Incubator for AI) to help design, build and operate the cloud platform that powers AI product delivery. This is a hands-on technical leadership position focused on modern cloud infrastructure, security, and scalable platform capabilities to enable production AI systems in government contexts. The role offers high autonomy within a flat engineering structure and opportunities to shape platform direction with strong engineering judgement. Responsibilities End to end platform engineering: own the technical delivery of platform initiatives from concept through to production, making architectural decisions and building secure, scalable cloud components that teams can depend on. Platform as a product: design capabilities that improve the developer experience, creating reusable patterns for local development, pipelines, environments, observability, and operational ergonomics to accelerate shipping with less friction. AI workload enablement: support production AI systems and agentic workloads; build and maintain platform capabilities for model access, routing, tracing, evaluation, reliability, and cost control. Intelligent automation and security: treat security as a first-class concern with automated controls for software supply chain security, secrets management and policy as code; use GenAI to reduce operational toil, introduce intelligent guardrails, and streamline developer workflows. Technical leadership: shape platform direction through engineering judgement and hands-on delivery, mentor engineers, promote better patterns, and balance needs of individual teams with platform-wide coherence. What you will thrive on Strong hands-on experience building and operating production cloud platforms, with AWS preferred. Deep understanding of platform architecture, distributed systems, networking, and reliability concepts (SLOs, tracing, alerting). Interest in applying GenAI/LLM tooling to reduce operational work and improve resilience. Experience embedding security into delivery workflows, including software supply chain security, IAM, threat modelling, and policy as code. Experience supporting AI/ML systems in production (model serving, MLOps, agentic orchestration, or prompt/inference cost trade-offs). Proficiency in software development and infrastructure automation; track record of reusable patterns and engineering standards. Strong ownership, judgement, and ability to operate in a flat, high-agency team; product mindset with emphasis on developer experience. Ability to coach others and raise technical standards. What we offer Career-defining projects with outsized impact and opportunities to apply technology to transform the public sector. Access to frontier models, compute resources, and a supportive, mission-driven team. Growth and empowerment: learning and development 5 days off, annual stipends, conference funding, and opportunities to own important products early. Life and family benefits: hybrid working in London, Manchester, or Bristol with occasional remote work abroad, generous leave, parental leave, and pension contributions. Our stack Cloud infrastructure: AWS (ECS, Lambda, CloudFront, RDS, S3) with multi-cloud patterns across Azure and GCP. Containerisation and delivery: Docker, container orchestration, GitHub Actions, and deployment patterns (rolling, canary, blue-green). Development: Terraform, Python with FastAPI, JavaScript/TypeScript with Next.js, Astro, Node.js. AI platform layer: tooling for model routing, tracing, evaluation (LiteLLM, Langfuse) with LangGraph, DSPy, Inspect. AI harness: OpenCode and Claude Code; access to frontier models from OpenAI, Anthropic, Google. Observability: AWS CloudWatch, Grafana, Sentry, X Ray. Security: SAST, SCA, SBOMs, policy as code, CSPM, DAST, and automated IAM/secrets management. Selection Process UK government clearance process with sponsorship if needed. Stages include a short initial conversation, technical take-home test, and multiple interviews with the team and senior representation. Diversity and Inclusion information and privacy notices are provided as part of the process. Salary: £69,675 - £90,756 GBP (GDAD role, with position within the grade range and non-pensionable allowances as applicable).
Dynatrace Developer 6 months Remote Market rates - Outside IR35 Active SC clearance required - eligible candidates will be considered Role Overview Our client is expanding its Dynatrace Observability Practice and is seeking an experienced Senior Observability Consultant to lead the design and deployment of the Dynatrace platform for a UK client. This is a senior, client-facing role for a hands-on technical leader who can own observability solutions end to end - from architecture and design through implementation to ongoing operation and optimisation - while mentoring more junior consultants and acting as the technical point of contact for customer stakeholders. Key Responsibilities Lead observability solution design and architecture, producing High Level Design (HLD), Low Level Design (LLD) and Technical Design documentation, including network zone, environment group and host group design. Own end-to-end deployment of the Dynatrace platform: OneAgent (infrastructure and full-stack modes), Environment ActiveGate installation, and OpenTelemetry (OTEL) collector/agent deployment and configuration. Design and configure dashboards (standard and custom), alerting profiles/segments, problem notifications and workflows, tagging, process (OS service) monitoring, synthetic monitors and SLOs. Implement Dynatrace log management and custom event modelling: log buckets and retention, log events, custom metrics and metric events, and business events derived from logs. Build automation and integrations using the Dynatrace API and Dynatrace Workflows, including integration with ITSM tooling (ideally ServiceNow) for incident and problem management. Act as the technical lead on client engagements: run kickoffs and requirement-gathering workshops, manage the technical relationship with customer stakeholders, and provide regular status reporting. Support the ongoing operation, health and tuning of deployed environments, and contribute to managed / retained observability support services. Mentor and provide technical guidance to junior consultants, and develop and deliver training and enablement sessions to customer teams. Required Technical Skills & Experience Proven, extensive hands-on experience designing, deploying and operating the Dynatrace Observability platform across enterprise environments. Typically 5+ years in observability, monitoring or APM disciplines, with at least 3 years of deep, hands-on Dynatrace delivery. Strong experience producing observability architecture and design documentation and leading technical implementation within structured, phased programmes. Working knowledge of the Dynatrace API and Workflows for automation, integration and data extraction. Awareness of data-protection considerations in observability tooling, including handling of PII in ingested telemetry and use of data-masking / pipeline controls. Familiarity with the wider observability ecosystem and associated technologies: Cloud platforms: AWS, Microsoft Azure and/or Google Cloud Platform Containers and orchestration: Kubernetes, OpenShift and Docker Operating systems: Linux and Windows Server Telemetry and observability signals: OpenTelemetry (OTEL), application performance monitoring (APM), infrastructure monitoring, log monitoring, real user monitoring (RUM) and synthetic monitoring ITSM integration, Strong ServiceNow knowledge, for incident and problem management CI/CD and automation tooling such as Azure DevOps, GitLab, Jenkins, Ansible or Terraform Scripting for automation and data extraction: Python, Bash and/or PowerShell Core networking concepts: firewalls, ports, proxies, DNS and TLS Strong knowledge of Agentic AI technologies and autonomous operations principles Certifications Hold at least one Dynatrace certification appropriate to the level of the role (e.g. Dynatrace Professional). As a senior member of the practice, a professional-level certification is strongly preferred. Delivery & Consulting Skills Demonstrated ability to lead technical workstreams and take day-to-day ownership of delivery within a structured, phased programme. Strong workshop and kickoff facilitation skills, engaging directly with customer stakeholders to gather requirements and validate configuration. Clear, confident written and verbal communication for customer status reporting and technical documentation. Comfortable coordinating with third-party suppliers (e.g. infrastructure / AMS providers) and working within formal change-control processes. Organised and self-sufficient; able to manage concurrent workstreams across multiple client engagements. Desirable / Nice to Have Prior experience delivering Dynatrace or observability onboarding programmes at scale (hundreds of hosts, dozens of applications). Experience contributing to or supporting managed / retained observability support services post go-live. Familiarity with ServiceNow incident and problem management workflows from the ITSM/ITOM side. Experience mentoring or line-managing consultants and shaping practice capability. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
22/07/2026
Contractor
Dynatrace Developer 6 months Remote Market rates - Outside IR35 Active SC clearance required - eligible candidates will be considered Role Overview Our client is expanding its Dynatrace Observability Practice and is seeking an experienced Senior Observability Consultant to lead the design and deployment of the Dynatrace platform for a UK client. This is a senior, client-facing role for a hands-on technical leader who can own observability solutions end to end - from architecture and design through implementation to ongoing operation and optimisation - while mentoring more junior consultants and acting as the technical point of contact for customer stakeholders. Key Responsibilities Lead observability solution design and architecture, producing High Level Design (HLD), Low Level Design (LLD) and Technical Design documentation, including network zone, environment group and host group design. Own end-to-end deployment of the Dynatrace platform: OneAgent (infrastructure and full-stack modes), Environment ActiveGate installation, and OpenTelemetry (OTEL) collector/agent deployment and configuration. Design and configure dashboards (standard and custom), alerting profiles/segments, problem notifications and workflows, tagging, process (OS service) monitoring, synthetic monitors and SLOs. Implement Dynatrace log management and custom event modelling: log buckets and retention, log events, custom metrics and metric events, and business events derived from logs. Build automation and integrations using the Dynatrace API and Dynatrace Workflows, including integration with ITSM tooling (ideally ServiceNow) for incident and problem management. Act as the technical lead on client engagements: run kickoffs and requirement-gathering workshops, manage the technical relationship with customer stakeholders, and provide regular status reporting. Support the ongoing operation, health and tuning of deployed environments, and contribute to managed / retained observability support services. Mentor and provide technical guidance to junior consultants, and develop and deliver training and enablement sessions to customer teams. Required Technical Skills & Experience Proven, extensive hands-on experience designing, deploying and operating the Dynatrace Observability platform across enterprise environments. Typically 5+ years in observability, monitoring or APM disciplines, with at least 3 years of deep, hands-on Dynatrace delivery. Strong experience producing observability architecture and design documentation and leading technical implementation within structured, phased programmes. Working knowledge of the Dynatrace API and Workflows for automation, integration and data extraction. Awareness of data-protection considerations in observability tooling, including handling of PII in ingested telemetry and use of data-masking / pipeline controls. Familiarity with the wider observability ecosystem and associated technologies: Cloud platforms: AWS, Microsoft Azure and/or Google Cloud Platform Containers and orchestration: Kubernetes, OpenShift and Docker Operating systems: Linux and Windows Server Telemetry and observability signals: OpenTelemetry (OTEL), application performance monitoring (APM), infrastructure monitoring, log monitoring, real user monitoring (RUM) and synthetic monitoring ITSM integration, Strong ServiceNow knowledge, for incident and problem management CI/CD and automation tooling such as Azure DevOps, GitLab, Jenkins, Ansible or Terraform Scripting for automation and data extraction: Python, Bash and/or PowerShell Core networking concepts: firewalls, ports, proxies, DNS and TLS Strong knowledge of Agentic AI technologies and autonomous operations principles Certifications Hold at least one Dynatrace certification appropriate to the level of the role (e.g. Dynatrace Professional). As a senior member of the practice, a professional-level certification is strongly preferred. Delivery & Consulting Skills Demonstrated ability to lead technical workstreams and take day-to-day ownership of delivery within a structured, phased programme. Strong workshop and kickoff facilitation skills, engaging directly with customer stakeholders to gather requirements and validate configuration. Clear, confident written and verbal communication for customer status reporting and technical documentation. Comfortable coordinating with third-party suppliers (e.g. infrastructure / AMS providers) and working within formal change-control processes. Organised and self-sufficient; able to manage concurrent workstreams across multiple client engagements. Desirable / Nice to Have Prior experience delivering Dynatrace or observability onboarding programmes at scale (hundreds of hosts, dozens of applications). Experience contributing to or supporting managed / retained observability support services post go-live. Familiarity with ServiceNow incident and problem management workflows from the ITSM/ITOM side. Experience mentoring or line-managing consultants and shaping practice capability. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
Dynatrace Developer 6 months Remote Market rates - Outside IR35 Active SC clearance required - eligible candidates will be considered Role Overview Our client is expanding its Dynatrace Observability Practice and is seeking an experienced Senior Observability Consultant to lead the design and deployment of the Dynatrace platform for a UK client. This is a senior, client-facing role for a hands-on technical leader who can own observability solutions end to end - from architecture and design through implementation to ongoing operation and optimisation - while mentoring more junior consultants and acting as the technical point of contact for customer stakeholders. Key Responsibilities Lead observability solution design and architecture, producing High Level Design (HLD), Low Level Design (LLD) and Technical Design documentation, including network zone, environment group and host group design. Own end-to-end deployment of the Dynatrace platform: OneAgent (infrastructure and full-stack modes), Environment ActiveGate installation, and OpenTelemetry (OTEL) collector/agent deployment and configuration. Design and configure dashboards (standard and custom), alerting profiles/segments, problem notifications and workflows, tagging, process (OS service) monitoring, synthetic monitors and SLOs. Implement Dynatrace log management and custom event modelling: log buckets and retention, log events, custom metrics and metric events, and business events derived from logs. Build automation and integrations using the Dynatrace API and Dynatrace Workflows, including integration with ITSM tooling (ideally ServiceNow) for incident and problem management. Act as the technical lead on client engagements: run kickoffs and requirement-gathering workshops, manage the technical relationship with customer stakeholders, and provide regular status reporting. Support the ongoing operation, health and tuning of deployed environments, and contribute to managed/retained observability support services. Mentor and provide technical guidance to junior consultants, and develop and deliver training and enablement sessions to customer teams. Required Technical Skills & Experience Proven, extensive hands-on experience designing, deploying and operating the Dynatrace Observability platform across enterprise environments. Typically 5+ years in observability, monitoring or APM disciplines, with at least 3 years of deep, hands-on Dynatrace delivery. Strong experience producing observability architecture and design documentation and leading technical implementation within structured, phased programmes. Working knowledge of the Dynatrace API and Workflows for automation, integration and data extraction. Awareness of data-protection considerations in observability tooling, including handling of PII in ingested telemetry and use of data-masking/pipeline controls. Familiarity with the wider observability ecosystem and associated technologies: Cloud platforms: AWS, Microsoft Azure and/or Google Cloud Platform Containers and orchestration: Kubernetes, OpenShift and Docker Operating systems: Linux and Windows Server Telemetry and observability signals: OpenTelemetry (OTEL), application performance monitoring (APM), infrastructure monitoring, log monitoring, real user monitoring (RUM) and synthetic monitoring ITSM integration, Strong ServiceNow knowledge, for incident and problem management CI/CD and automation tooling such as Azure DevOps, GitLab, Jenkins, Ansible or Terraform Scripting for automation and data extraction: Python, Bash and/or PowerShell Core networking concepts: Firewalls, ports, proxies, DNS and TLS Strong knowledge of Agentic AI technologies and autonomous operations principles Certifications Hold at least one Dynatrace certification appropriate to the level of the role (eg Dynatrace Professional). As a senior member of the practice, a professional-level certification is strongly preferred. Delivery & Consulting Skills Demonstrated ability to lead technical workstreams and take day-to-day ownership of delivery within a structured, phased programme. Strong workshop and kickoff facilitation skills, engaging directly with customer stakeholders to gather requirements and validate configuration. Clear, confident written and verbal communication for customer status reporting and technical documentation. Comfortable coordinating with third-party suppliers (eg infrastructure/AMS providers) and working within formal change-control processes. Organised and self-sufficient; able to manage concurrent workstreams across multiple client engagements. Desirable/Nice to Have Prior experience delivering Dynatrace or observability onboarding programmes at scale (hundreds of hosts, dozens of applications). Experience contributing to or supporting managed/retained observability support services post go-live. Familiarity with ServiceNow incident and problem management workflows from the ITSM/ITOM side. Experience mentoring or line-managing consultants and shaping practice capability. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
22/07/2026
Contractor
Dynatrace Developer 6 months Remote Market rates - Outside IR35 Active SC clearance required - eligible candidates will be considered Role Overview Our client is expanding its Dynatrace Observability Practice and is seeking an experienced Senior Observability Consultant to lead the design and deployment of the Dynatrace platform for a UK client. This is a senior, client-facing role for a hands-on technical leader who can own observability solutions end to end - from architecture and design through implementation to ongoing operation and optimisation - while mentoring more junior consultants and acting as the technical point of contact for customer stakeholders. Key Responsibilities Lead observability solution design and architecture, producing High Level Design (HLD), Low Level Design (LLD) and Technical Design documentation, including network zone, environment group and host group design. Own end-to-end deployment of the Dynatrace platform: OneAgent (infrastructure and full-stack modes), Environment ActiveGate installation, and OpenTelemetry (OTEL) collector/agent deployment and configuration. Design and configure dashboards (standard and custom), alerting profiles/segments, problem notifications and workflows, tagging, process (OS service) monitoring, synthetic monitors and SLOs. Implement Dynatrace log management and custom event modelling: log buckets and retention, log events, custom metrics and metric events, and business events derived from logs. Build automation and integrations using the Dynatrace API and Dynatrace Workflows, including integration with ITSM tooling (ideally ServiceNow) for incident and problem management. Act as the technical lead on client engagements: run kickoffs and requirement-gathering workshops, manage the technical relationship with customer stakeholders, and provide regular status reporting. Support the ongoing operation, health and tuning of deployed environments, and contribute to managed/retained observability support services. Mentor and provide technical guidance to junior consultants, and develop and deliver training and enablement sessions to customer teams. Required Technical Skills & Experience Proven, extensive hands-on experience designing, deploying and operating the Dynatrace Observability platform across enterprise environments. Typically 5+ years in observability, monitoring or APM disciplines, with at least 3 years of deep, hands-on Dynatrace delivery. Strong experience producing observability architecture and design documentation and leading technical implementation within structured, phased programmes. Working knowledge of the Dynatrace API and Workflows for automation, integration and data extraction. Awareness of data-protection considerations in observability tooling, including handling of PII in ingested telemetry and use of data-masking/pipeline controls. Familiarity with the wider observability ecosystem and associated technologies: Cloud platforms: AWS, Microsoft Azure and/or Google Cloud Platform Containers and orchestration: Kubernetes, OpenShift and Docker Operating systems: Linux and Windows Server Telemetry and observability signals: OpenTelemetry (OTEL), application performance monitoring (APM), infrastructure monitoring, log monitoring, real user monitoring (RUM) and synthetic monitoring ITSM integration, Strong ServiceNow knowledge, for incident and problem management CI/CD and automation tooling such as Azure DevOps, GitLab, Jenkins, Ansible or Terraform Scripting for automation and data extraction: Python, Bash and/or PowerShell Core networking concepts: Firewalls, ports, proxies, DNS and TLS Strong knowledge of Agentic AI technologies and autonomous operations principles Certifications Hold at least one Dynatrace certification appropriate to the level of the role (eg Dynatrace Professional). As a senior member of the practice, a professional-level certification is strongly preferred. Delivery & Consulting Skills Demonstrated ability to lead technical workstreams and take day-to-day ownership of delivery within a structured, phased programme. Strong workshop and kickoff facilitation skills, engaging directly with customer stakeholders to gather requirements and validate configuration. Clear, confident written and verbal communication for customer status reporting and technical documentation. Comfortable coordinating with third-party suppliers (eg infrastructure/AMS providers) and working within formal change-control processes. Organised and self-sufficient; able to manage concurrent workstreams across multiple client engagements. Desirable/Nice to Have Prior experience delivering Dynatrace or observability onboarding programmes at scale (hundreds of hosts, dozens of applications). Experience contributing to or supporting managed/retained observability support services post go-live. Familiarity with ServiceNow incident and problem management workflows from the ITSM/ITOM side. Experience mentoring or line-managing consultants and shaping practice capability. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
Remote Site Reliability Engineer Jobs in Cardiff, UK at Starcompliance About Star Compliance Star Compliance is on a mission to make compliance simple and easy. Trusted globally by enterprise financial institutions, the user-friendly STAR platform empowers organizations to achieve regulatory compliance while safeguarding their integrity and business reputations. Through a customizable, 360-degree view of employee activity, the STAR software enables firms to automate the detection and resolution of potential areas of conflict while streamlining daily workflows and increasing efficiency. Location Candidates MUST be UK based and have right to work. We are seeking a highly skilled and pragmatic Site Reliability Engineer (SRE) to help lead our evolution from legacy single-tenant monoliths to modern, scalable, multi-tenant microservices. This is a pivotal role for our business, enabling faster delivery, improved reliability, and real scalability across our SaaS portfolio. While we've got a solid handle on infrastructure monitoring, we're still in the early innings when it comes to application-level observability, autoscaling, and progressive delivery strategies (e.g., canary releases, blue/green deployments). That's where you come in. You'll work closely with Infrastructure, Architecture, Engineering, and Support teams to design, build, and evangelize the next generation of SRE practices and tools that ensure uptime, resiliency, and customer trust. Responsibilities Champion Reliability by Design: Collaborate with architects and engineers to build resilient, fault-tolerant systems across our evolving cloud-native stack. Observability Overhaul: Lead the charge on full-stack observability, leveraging modern APM tooling, meaningful SLOs/SLIs, and actionable alerts. Scaling Systems: Develop and implement auto-scaling strategies, load testing plans, and capacity forecasting for multi-tenant environments. Progressive Delivery: Help implement and automate deployment strategies such as canary releases, feature flags, and blue/green rollouts. Incident Response: Create and refine on-call processes, incident response playbooks, and blameless post-mortem routines. Monitoring & Tooling: Own and evolve our monitoring infrastructure, integrating metrics, logs, and traces into a cohesive ecosystem. Developer Empowerment: Build reusable templates, dashboards, and platform tooling to empower dev teams to "shift left" on reliability. Cross-functional Collaboration: Work hand-in-hand with Infrastructure, Architecture, Support, and Engineering teams to drive shared accountability for uptime and performance. Skills 5+ years in SRE, DevOps, or Production Engineering roles, ideally within a SaaS or cloud-native environment. Deep experience with cloud platforms (preferably Azure or AWS), and Infrastructure-as-Code tools (e.g., Terraform). Hands-on experience with Azure DevOps is strongly preferred, as our CI/CD and project workflows are fully built around it. Proficiency with observability tools such as New Relic, Datadog, Prometheus, or similar. Strong understanding of software deployment strategies, CI/CD pipelines, and release engineering. Ability to code in at least one modern scripting or systems language (e.g., Python, Power Shell, Go, Bash). Experience operating multi-tenant environments with an emphasis on security, performance, and cost optimization. Excellent communicator who thrives in cross-functional settings and can influence engineering culture around reliability. Desirable Skills Experience in regulated industries (e.g., financial services, healthcare). Background with service mesh architectures, distributed tracing, and gRPC/GraphQL. Familiarity with incident management platforms (e.g., PagerDuty, Ops Genie). Contributions to open-source SRE tooling or frameworks. Star Compliance Background Checks All positions require pre-employment screening due to employees potentially having access to highly sensitive and confidential information involving finance and compliance; candidates must be trustworthy and have a heightened sensitivity to protecting confidential financial, professional information. To be eligible for employment with Star Compliance, candidates must undergo a rigorous background
22/07/2026
Full time
Remote Site Reliability Engineer Jobs in Cardiff, UK at Starcompliance About Star Compliance Star Compliance is on a mission to make compliance simple and easy. Trusted globally by enterprise financial institutions, the user-friendly STAR platform empowers organizations to achieve regulatory compliance while safeguarding their integrity and business reputations. Through a customizable, 360-degree view of employee activity, the STAR software enables firms to automate the detection and resolution of potential areas of conflict while streamlining daily workflows and increasing efficiency. Location Candidates MUST be UK based and have right to work. We are seeking a highly skilled and pragmatic Site Reliability Engineer (SRE) to help lead our evolution from legacy single-tenant monoliths to modern, scalable, multi-tenant microservices. This is a pivotal role for our business, enabling faster delivery, improved reliability, and real scalability across our SaaS portfolio. While we've got a solid handle on infrastructure monitoring, we're still in the early innings when it comes to application-level observability, autoscaling, and progressive delivery strategies (e.g., canary releases, blue/green deployments). That's where you come in. You'll work closely with Infrastructure, Architecture, Engineering, and Support teams to design, build, and evangelize the next generation of SRE practices and tools that ensure uptime, resiliency, and customer trust. Responsibilities Champion Reliability by Design: Collaborate with architects and engineers to build resilient, fault-tolerant systems across our evolving cloud-native stack. Observability Overhaul: Lead the charge on full-stack observability, leveraging modern APM tooling, meaningful SLOs/SLIs, and actionable alerts. Scaling Systems: Develop and implement auto-scaling strategies, load testing plans, and capacity forecasting for multi-tenant environments. Progressive Delivery: Help implement and automate deployment strategies such as canary releases, feature flags, and blue/green rollouts. Incident Response: Create and refine on-call processes, incident response playbooks, and blameless post-mortem routines. Monitoring & Tooling: Own and evolve our monitoring infrastructure, integrating metrics, logs, and traces into a cohesive ecosystem. Developer Empowerment: Build reusable templates, dashboards, and platform tooling to empower dev teams to "shift left" on reliability. Cross-functional Collaboration: Work hand-in-hand with Infrastructure, Architecture, Support, and Engineering teams to drive shared accountability for uptime and performance. Skills 5+ years in SRE, DevOps, or Production Engineering roles, ideally within a SaaS or cloud-native environment. Deep experience with cloud platforms (preferably Azure or AWS), and Infrastructure-as-Code tools (e.g., Terraform). Hands-on experience with Azure DevOps is strongly preferred, as our CI/CD and project workflows are fully built around it. Proficiency with observability tools such as New Relic, Datadog, Prometheus, or similar. Strong understanding of software deployment strategies, CI/CD pipelines, and release engineering. Ability to code in at least one modern scripting or systems language (e.g., Python, Power Shell, Go, Bash). Experience operating multi-tenant environments with an emphasis on security, performance, and cost optimization. Excellent communicator who thrives in cross-functional settings and can influence engineering culture around reliability. Desirable Skills Experience in regulated industries (e.g., financial services, healthcare). Background with service mesh architectures, distributed tracing, and gRPC/GraphQL. Familiarity with incident management platforms (e.g., PagerDuty, Ops Genie). Contributions to open-source SRE tooling or frameworks. Star Compliance Background Checks All positions require pre-employment screening due to employees potentially having access to highly sensitive and confidential information involving finance and compliance; candidates must be trustworthy and have a heightened sensitivity to protecting confidential financial, professional information. To be eligible for employment with Star Compliance, candidates must undergo a rigorous background
Method Grid; one platform to connect knowledge, process and delivery. Founded in 2016 - and following growth-enabling investment in 2021 - we're now a team of nearly twenty. Our platform continues to develop at pace, and we can now count on some of the UK's largest AEC (architecture, engineering and construction) and Professional Services companies as advocate customers. But we've still got work to do. Our ambitions for 2026 and beyond are considerable. Our product roadmap is 'bursting at the seams' with feature ideas that we're keen to build - and we're motivated to further harness AI and ML to help our customers deliver projects consistently and compliantly. This role will be offered remotely. We have tried-and-tested practices and processes in place that make this work seamlessly. However, we do commit to co-locating once a quarter, for our all-team Summits. These are based in Bath (there could be worse places to visit!) and brings the whole Method Grid team together for two days. If you're interested in joining an ambitious, Values-lead team, then read on The Role Whilst part of a broader team, you'll find yourself working closely with a member of our backend team on feature releases. We push out new releases regularly and we've some ambitious plans (significant releases) for our platform in 2026 and beyond. In terms of technologies, a solid grounding in HTML, CSS and JavaScript is essential. We've spent considerable time and effort in updating our application in Vue.js, so strong experience in this area would be essential. As a Senior, you will have experience of component-based architecture and Agile engineering practices such as TDD (possibly also BDD). It would be beneficial if you had some exposure to full-stack development - particularly around debugging back end issues (PHP, Python) - but this is secondary to the front end requirements. About You You may have already worked in a start-up/scale-up technology business. It isn't essential - but we are looking for curious minds who are keen to explore new technologies. To the extent we allocate 10% of our development teams' week for pure R&D. We have a tight-knit, high-performing development team already. One of the core reasons for this is that they support each other unconditionally. Where a team member may have a gap in knowledge, someone will pro-actively step-in to provide guidance. This should also be part of your behaviour. Working for a start-up/scale-up technology firm should be something that builds some excitement in you - otherwise, why do it? We're at a stage of our growth journey where the future could be genuinely exciting, but it will take hard work to get to the next stage. As mentioned, you will have advanced skills and experience in Vue.js, coupled with deep knowledge of HTML, CSS and accessibility. Why Join? Method Grid is an early-stage SaaS platform with an ever-growing list of impressive customers. We've recently secured significant investment both to accelerate the build of our product and to hire a team of passionate experts to deliver an outstanding customer experience. It's going to be an exciting journey. We believe we have a unique product that will only get better. We celebrate diversity and how it can empower a high-performing team. But the one thing that does unify us is our values. As we grow, we intend to keep our values front-&-centre. We have a great (and growing) team of co-workers who embody the cultural values of: (highly collaborative) Central Rock (client-centricity) Never Settle (never ending pursuit of excellence coupled with humility to recognise we never get there) Egos at the Door (take our work seriously but not ourselves) Fast Craft (ruthless speed when it comes to product development)
21/07/2026
Full time
Method Grid; one platform to connect knowledge, process and delivery. Founded in 2016 - and following growth-enabling investment in 2021 - we're now a team of nearly twenty. Our platform continues to develop at pace, and we can now count on some of the UK's largest AEC (architecture, engineering and construction) and Professional Services companies as advocate customers. But we've still got work to do. Our ambitions for 2026 and beyond are considerable. Our product roadmap is 'bursting at the seams' with feature ideas that we're keen to build - and we're motivated to further harness AI and ML to help our customers deliver projects consistently and compliantly. This role will be offered remotely. We have tried-and-tested practices and processes in place that make this work seamlessly. However, we do commit to co-locating once a quarter, for our all-team Summits. These are based in Bath (there could be worse places to visit!) and brings the whole Method Grid team together for two days. If you're interested in joining an ambitious, Values-lead team, then read on The Role Whilst part of a broader team, you'll find yourself working closely with a member of our backend team on feature releases. We push out new releases regularly and we've some ambitious plans (significant releases) for our platform in 2026 and beyond. In terms of technologies, a solid grounding in HTML, CSS and JavaScript is essential. We've spent considerable time and effort in updating our application in Vue.js, so strong experience in this area would be essential. As a Senior, you will have experience of component-based architecture and Agile engineering practices such as TDD (possibly also BDD). It would be beneficial if you had some exposure to full-stack development - particularly around debugging back end issues (PHP, Python) - but this is secondary to the front end requirements. About You You may have already worked in a start-up/scale-up technology business. It isn't essential - but we are looking for curious minds who are keen to explore new technologies. To the extent we allocate 10% of our development teams' week for pure R&D. We have a tight-knit, high-performing development team already. One of the core reasons for this is that they support each other unconditionally. Where a team member may have a gap in knowledge, someone will pro-actively step-in to provide guidance. This should also be part of your behaviour. Working for a start-up/scale-up technology firm should be something that builds some excitement in you - otherwise, why do it? We're at a stage of our growth journey where the future could be genuinely exciting, but it will take hard work to get to the next stage. As mentioned, you will have advanced skills and experience in Vue.js, coupled with deep knowledge of HTML, CSS and accessibility. Why Join? Method Grid is an early-stage SaaS platform with an ever-growing list of impressive customers. We've recently secured significant investment both to accelerate the build of our product and to hire a team of passionate experts to deliver an outstanding customer experience. It's going to be an exciting journey. We believe we have a unique product that will only get better. We celebrate diversity and how it can empower a high-performing team. But the one thing that does unify us is our values. As we grow, we intend to keep our values front-&-centre. We have a great (and growing) team of co-workers who embody the cultural values of: (highly collaborative) Central Rock (client-centricity) Never Settle (never ending pursuit of excellence coupled with humility to recognise we never get there) Egos at the Door (take our work seriously but not ourselves) Fast Craft (ruthless speed when it comes to product development)
Anord Mardix, a Flex company, is seeking a skilled Full Stack Web Developer to join our Engineering Systems team. This remote UK role involves building scalable web apps with Node.js and integrating APIs across CAD/PLM platforms. Ideal candidates have 4+ years in full stack development, strong Node.js skills, REST API knowledge, and familiarity with SQL and Python. We offer a competitive salary, extensive benefits, and remote/hybrid flexibility.
20/07/2026
Full time
Anord Mardix, a Flex company, is seeking a skilled Full Stack Web Developer to join our Engineering Systems team. This remote UK role involves building scalable web apps with Node.js and integrating APIs across CAD/PLM platforms. Ideal candidates have 4+ years in full stack development, strong Node.js skills, REST API knowledge, and familiarity with SQL and Python. We offer a competitive salary, extensive benefits, and remote/hybrid flexibility.
Black Duck Software, Inc. helps organizations build secure, high-quality software, minimizing risks while maximizing speed and productivity. Black Duck, a recognized pioneer in application security, provides SAST, SCA, and DAST solutions that enable teams to quickly find and fix vulnerabilities and defects in proprietary code, open source components, and application behavior. With a combination of industry-leading tools, services, and expertise, only Black Duck helps organizations maximize security and quality in DevSecOps and throughout the software development life cycle. The Data Science group sits within Black Duck's Data Engineering organisation, operating as a centre of excellence in statistical analysis, machine learning engineering, and applied AI. We work at the intersection of cybersecurity and data intelligence; building models, evaluation frameworks, and AI-powered capabilities that directly shape how tens of thousands of developers and security teams understand and respond to risk. Our work spans predictive analytics, behavioural modelling, LLM integration, and the development of internal AI platforms. We're opinionated about quality, curious by default, and outcome-driven in everything we ship. Our Values Trust: We'd rather be late than wrong. Our work is only as valuable as its credibility. Collaboration: We have deep technical expertise, but we work shoulder-to-shoulder with the subject matter experts who define what "correct" actually means in our domain. Results: We're outcome-driven. Research has value, but it has more value when it's written up, shipped, or handed off. Curiosity: Exploration is core to what we do - including the dead ends. (It's not science unless you write it down.) Fun: We work in a genuinely strange corner of the data world. Revel in it. About the Role As a Senior Data Scientist, you will own the design, development, and production deployment of machine learning and AI systems that drive measurable outcomes across Black Duck's cybersecurity platforms. This is primarily a technical individual contributor role - we're looking for someone who can take a problem from framing through to a shipped, evaluated, production system, and who brings genuine depth in ML/AI engineering rather than general data work. Data infrastructure and pipeline ownership sits with our dedicated Data Engineering function. Your focus is on what we do with that data: building models, evaluating them rigorously, integrating AI capabilities into products and internal tooling, and helping shape how the team approaches applied AI at scale. The role is primarily based at our Belfast R&D site. UK/EMEA remote or hybrid applicants will be considered, with at least quarterly travel to Belfast expected. Additional conference and collaboration opportunities are available commensurate with your impact. Key Responsibilities Design, develop, and maintain machine learning and AI systems, from prototype through to production, with clear evaluation criteria and operational handover Lead the integration of LLM and agentic AI capabilities into Black Duck products and internal platforms (including prompt engineering, retrieval-augmented generation, and tool/agent orchestration) Design and own LLM evaluation frameworks: defining task specific metrics, building offline and online eval pipelines, running structured comparisons across models and configurations, and producing clear recommendations with supporting evidence Conduct cost benefit analysis on AI/ML system decisions: model / architecture / methodology selection, operational costs, build vs buy trade offs, and quantifying the value of AI/ML interventions against baseline approaches; communicating findings clearly to technical and non technical stakeholders Collaborate with R&D and Product Engineering to embed AI capabilities into existing workflows and surfaces Contribute to the team's shared practices around model governance, reproducibility, and responsible AI use Mentor team members, peers and the wider organisation on evolving and emerging ML/AI engineering practices and help continuously maintain the organisation's technical standards Key Qualifications 5+ years of hands on experience in data science, machine learning engineering, or applied AI - with demonstrable delivery of production ML/AI systems, not just research or analysis Strong Software engineering proficiency; you can design and deliver a project or module from scratch that others can build on Experience deploying ML/AI models in production on cloud infrastructure (AWS, Azure, or GCP) and/or Kubernetes workloads Practical experience with ML/AI development stacks: PyTorch, scikit learn, HuggingFace or equivalent; experiment tracking (MLflow, W&B or similar); and model evaluation tooling Experience designing and executing LLM evaluations: building eval datasets, defining metrics, running model comparisons, and translating results into actionable decisions Experience conducting cost benefit or trade off analysis on AI systems; weighing inference cost, latency, accuracy, and operational complexity against business or product value Familiarity with agentic AI patterns: tool use, multi step reasoning, agent orchestration (LangChain, LangGraph, or equivalent) Experience working with LLMs via API integration, prompt engineering, and RAG pipelines Experience with Jupyter and standard scientific Python (pandas, numpy, scipy) Ability to operate independently on multi month projects, manage your own priorities, and communicate clearly across engineering and non engineering stakeholders Hands on experience with AI assisted development tools (GitHub Copilot, Claude Code, Cursor, or similar) Nice to Have Degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, Physics, or a related field (or demonstrated equivalent through portfolio and track record) Familiarity with cybersecurity concepts, application security testing, or software supply chain risk Experience with data/feature stores, model registries, or MLOps tooling (Airflow, DBT, Databricks, or equivalent) Familiarity with Data Mesh or Data Product concepts Experience with enterprise data visualisation (Power BI, Grafana, Snowflake, Databricks dashboards) Comfort in Linux/CLI environments and experience contributing to shared codebases (Git, code review, CI/CD) Track record of written or public communication: internal documentation, papers, blog posts, or conference contributions Black Duck is an equal opportunity employer. We consider all applicants for employment without regard to race, color, national origin, religion, sex, gender identity or expression, age, disability, sexual orientation, veteran or military service status, or any other characteristic protected by applicable law. Black Duck complies with all applicable laws prohibiting employment discrimination in every jurisdiction where it operates and provides reasonable accommodations to individuals with disabilities in accordance with applicable law.
19/07/2026
Full time
Black Duck Software, Inc. helps organizations build secure, high-quality software, minimizing risks while maximizing speed and productivity. Black Duck, a recognized pioneer in application security, provides SAST, SCA, and DAST solutions that enable teams to quickly find and fix vulnerabilities and defects in proprietary code, open source components, and application behavior. With a combination of industry-leading tools, services, and expertise, only Black Duck helps organizations maximize security and quality in DevSecOps and throughout the software development life cycle. The Data Science group sits within Black Duck's Data Engineering organisation, operating as a centre of excellence in statistical analysis, machine learning engineering, and applied AI. We work at the intersection of cybersecurity and data intelligence; building models, evaluation frameworks, and AI-powered capabilities that directly shape how tens of thousands of developers and security teams understand and respond to risk. Our work spans predictive analytics, behavioural modelling, LLM integration, and the development of internal AI platforms. We're opinionated about quality, curious by default, and outcome-driven in everything we ship. Our Values Trust: We'd rather be late than wrong. Our work is only as valuable as its credibility. Collaboration: We have deep technical expertise, but we work shoulder-to-shoulder with the subject matter experts who define what "correct" actually means in our domain. Results: We're outcome-driven. Research has value, but it has more value when it's written up, shipped, or handed off. Curiosity: Exploration is core to what we do - including the dead ends. (It's not science unless you write it down.) Fun: We work in a genuinely strange corner of the data world. Revel in it. About the Role As a Senior Data Scientist, you will own the design, development, and production deployment of machine learning and AI systems that drive measurable outcomes across Black Duck's cybersecurity platforms. This is primarily a technical individual contributor role - we're looking for someone who can take a problem from framing through to a shipped, evaluated, production system, and who brings genuine depth in ML/AI engineering rather than general data work. Data infrastructure and pipeline ownership sits with our dedicated Data Engineering function. Your focus is on what we do with that data: building models, evaluating them rigorously, integrating AI capabilities into products and internal tooling, and helping shape how the team approaches applied AI at scale. The role is primarily based at our Belfast R&D site. UK/EMEA remote or hybrid applicants will be considered, with at least quarterly travel to Belfast expected. Additional conference and collaboration opportunities are available commensurate with your impact. Key Responsibilities Design, develop, and maintain machine learning and AI systems, from prototype through to production, with clear evaluation criteria and operational handover Lead the integration of LLM and agentic AI capabilities into Black Duck products and internal platforms (including prompt engineering, retrieval-augmented generation, and tool/agent orchestration) Design and own LLM evaluation frameworks: defining task specific metrics, building offline and online eval pipelines, running structured comparisons across models and configurations, and producing clear recommendations with supporting evidence Conduct cost benefit analysis on AI/ML system decisions: model / architecture / methodology selection, operational costs, build vs buy trade offs, and quantifying the value of AI/ML interventions against baseline approaches; communicating findings clearly to technical and non technical stakeholders Collaborate with R&D and Product Engineering to embed AI capabilities into existing workflows and surfaces Contribute to the team's shared practices around model governance, reproducibility, and responsible AI use Mentor team members, peers and the wider organisation on evolving and emerging ML/AI engineering practices and help continuously maintain the organisation's technical standards Key Qualifications 5+ years of hands on experience in data science, machine learning engineering, or applied AI - with demonstrable delivery of production ML/AI systems, not just research or analysis Strong Software engineering proficiency; you can design and deliver a project or module from scratch that others can build on Experience deploying ML/AI models in production on cloud infrastructure (AWS, Azure, or GCP) and/or Kubernetes workloads Practical experience with ML/AI development stacks: PyTorch, scikit learn, HuggingFace or equivalent; experiment tracking (MLflow, W&B or similar); and model evaluation tooling Experience designing and executing LLM evaluations: building eval datasets, defining metrics, running model comparisons, and translating results into actionable decisions Experience conducting cost benefit or trade off analysis on AI systems; weighing inference cost, latency, accuracy, and operational complexity against business or product value Familiarity with agentic AI patterns: tool use, multi step reasoning, agent orchestration (LangChain, LangGraph, or equivalent) Experience working with LLMs via API integration, prompt engineering, and RAG pipelines Experience with Jupyter and standard scientific Python (pandas, numpy, scipy) Ability to operate independently on multi month projects, manage your own priorities, and communicate clearly across engineering and non engineering stakeholders Hands on experience with AI assisted development tools (GitHub Copilot, Claude Code, Cursor, or similar) Nice to Have Degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, Physics, or a related field (or demonstrated equivalent through portfolio and track record) Familiarity with cybersecurity concepts, application security testing, or software supply chain risk Experience with data/feature stores, model registries, or MLOps tooling (Airflow, DBT, Databricks, or equivalent) Familiarity with Data Mesh or Data Product concepts Experience with enterprise data visualisation (Power BI, Grafana, Snowflake, Databricks dashboards) Comfort in Linux/CLI environments and experience contributing to shared codebases (Git, code review, CI/CD) Track record of written or public communication: internal documentation, papers, blog posts, or conference contributions Black Duck is an equal opportunity employer. We consider all applicants for employment without regard to race, color, national origin, religion, sex, gender identity or expression, age, disability, sexual orientation, veteran or military service status, or any other characteristic protected by applicable law. Black Duck complies with all applicable laws prohibiting employment discrimination in every jurisdiction where it operates and provides reasonable accommodations to individuals with disabilities in accordance with applicable law.
Salary: London: £66,332 - £70,791. Manchester: £64,005 - 68,185 (depending on skills and experience) with an opportunity to qualify for additional allowances and a skills-related payment under the Government Digital and Data Profession Capability Framework (GDDPCF) - formerly known as DDaT. London roles - 36 hours per week, Manchester roles - 37 hours per week. Flexible working: we support full-time, part-time, compressed hours and other flexible working patterns. This is primarily an office-based role, and therefore, opportunities for home or remote working will be limited and dependent on business needs. About us MI5 keeps the country safe from serious threats like terrorism and attempts by states to harm the UK, its people and way of life. We carry out investigations by obtaining, analysing, and assessing intelligence, and then work with a range of partners including MI6 and GCHQ to disrupt these threats. Through our protective security arm, we provide advice and guidance to government, businesses and other organisations about how to keep themselves safe. A role in MI5 means you'll do unique and challenging work in a supportive and encouraging environment, making a real difference to UK national security. The role Technology sits at the heart of everything we do at MI5. We're looking for Software Engineers with multiple years of experience who are prepared to take on a more senior role within a multi-disciplinary product team. You'll develop solutions, mentor less experienced colleagues whilst working alongside a range of technical specialists including Product Owners, Business Analysts, Delivery Managers, Data Scientists and Machine Learning Engineers, to build and run secure applications and products. You'll be using agile methodologies to deliver products that are core to MI5's operations, and you'll be using cloud technologies such as AWS and Azure as well, supporting on-premises platforms and long-established technologies and frameworks. You'll share our collective responsibility to keep the country safe and be keen to constantly improve yourself and your team, taking on ownership of large problems, breaking them down and working with the team to deliver new features throughout the engineering lifecycle. You'll support the products owned by the team, working with users to identify and fix defects (providing on-call support if necessary) developing automated tests to maintain the assurance of our products and deploy through continuous integration pipelines. You'll support and mentor less experienced colleagues and help them to understand what great engineering looks like, promoting best practises, participating in our engineering community and guilds, and encourage cross-organisation initiatives to help build our community of engineers. Many of our engineers work directly within our mission teams and all engineers have a unique opportunity to see first hand how their work contributes to UK national security, while remaining part of a supportive and inclusive technical profession. Our tech stacks vary between products (such as Java, Python, C#, React.js, Oracle, Mongo, Elastic Search and Hadoop to name a few). We embrace DevSecOps mindset, and our teams automate, run and support what we build. You'll be working under the Government Digital and Data Profession Capability Framework (formerly known as DDaT), which recognises and rewards specialist expertise. Due to the nature of our work, most of the teams only work from the office. There are limited opportunities to work in a hybrid way. This is not guaranteed and dependent on the business need. Whether it's building a platform to enable the analysis of data systems to track the progress of our investigations, developing robust and scalable capabilities for our Data Science teams, compliance services to ensure we are operating legally or tooling to improve our developer experience, the nature of our work presents unique and fascinating engineering challenges. About you We value your solid communication skills, as you communicate effectively with technical and non-technical colleagues. You'll demonstrate competency in leadership and you're continuously looking for opportunities to develop and learn new engineering practices and approaches. Training and development We're committed to developing you and recognise this will look different for everyone. We'll use the Government Digital and Data Profession Capability Framework (formerly known as DDaT) as a compass to provide guidance and tools to support you. You can find out more about the framework here: Government Digital and Data Profession Capability Framework. There'll be opportunities to gain qualifications and pursue specialist pathways, as well as undertaking tailored training, coaching and mentoring. You will also have up to 20% innovation and personal development time. As you develop, grow, and maintain your technical skills, you will have the opportunity to progress through GDDPCF pay points. You'll need to regularly demonstrate and accredit your skills based on the framework. If you don't maintain the required skills, you'll be given the opportunity and support to rectify this, as you could revert to a lower level of capability and pay. Rewards and benefits You'll receive a starting salary of between London: £66,332 - £70,791. Manchester: £64,005 - 68,185 (depending on skills and experience) plus other benefits including: 25 Days Annual Leave automatically rising to 30 days after 5 years' service, and an additional 10.5 days public and privilege holidays opportunities to be recognised through our employee performance scheme dedicated development budget interest free season ticket loan cycle to work scheme facilities such as a gym, restaurant and on site coffee bars (at some locations) paid parental and adoption leave. Equal opportunities At MI5 diversity and inclusion are critical to our mission. To protect the UK, we need a truly diverse workforce that reflects the society we serve. This includes diversity in every sense of the word: those with different backgrounds, ages, ethnicities, gender identities, sexual orientations, ways of thinking and those with disabilities or neurodivergent conditions. We therefore welcome and encourage applications from everyone, including those from groups that are under represented in our workforce such as women, those from an ethnic minority background, people with disabilities and those from low socio economic backgrounds. MI5 is proud to have achieved Leader status within the Department for Work and Pensions' Disability Confident scheme. This initiative encourages employers to think differently about disability and take action to improve how they recruit, retain and develop disabled people. As a Disability Confident Organisation, we aim to ensure that a fair and proportionate number of disabled applicants who best meet the essential criteria for this position will be offered an interview, where it is practical for us to do so. (This is known as the Offer of an interview.) To secure an interview for this role, you must meet the minimum criteria, all of which are assessed at the application sift. These criteria (in order of application process) are: Demonstrate ability in developing software in at least one common language (assessed at application form sift) Demonstrate an understanding of the principles of modern standards approaches such as continuous integration and delivery, test driven development and cloud services (assessed at application form sift) Demonstrate taking on a more senior role within a team. Provide technical direction and the ability to guide and support others with regards to software developing (assessed at application form sift) There is a wide range of extra support available throughout the recruitment process to enable you to do your best, see our website for information on reasonable adjustments we can offer. What to expect You'll be invited to upload your CV and complete an online application form. If you pass, you'll be invited to an interview where you will be asked questions relating to your motivation and our core competencies. If you pass, you'll be invited to a technical skill based interview based on the Government Digital and Data Profession Capability Framework for the role. This will cover drawing upon your experience for the following areas: Programming & Build including User Focus Information Security System Design If you pass, you'll be made a Conditional Offer of Employment, subject to vetting. Please note, you must successfully pass each stage of the process to progress to the next. Your application may take around 6 - 9 months to process including vetting, so we advise you to continue any current employment until you have received your final job offer. Before you apply To work at MI5 you need to be a British citizen or hold dual British nationality. You can read our full eligibility criteria here. This role requires the highest security clearance, known as Developed Vetting (DV). It's something everyone in the UK Intelligence Community undertakes. You can find out more about the vetting process here. Please note we have a strict drugs policy, so once you start your application, you can't take any recreational drugs and you'll need to declare your previous drug usage at the relevant stage. Before you apply, we advise you to consider setting up a separate email address for your contact with us, to ensure your personal and application correspondence remain separate . click apply for full job details
18/07/2026
Full time
Salary: London: £66,332 - £70,791. Manchester: £64,005 - 68,185 (depending on skills and experience) with an opportunity to qualify for additional allowances and a skills-related payment under the Government Digital and Data Profession Capability Framework (GDDPCF) - formerly known as DDaT. London roles - 36 hours per week, Manchester roles - 37 hours per week. Flexible working: we support full-time, part-time, compressed hours and other flexible working patterns. This is primarily an office-based role, and therefore, opportunities for home or remote working will be limited and dependent on business needs. About us MI5 keeps the country safe from serious threats like terrorism and attempts by states to harm the UK, its people and way of life. We carry out investigations by obtaining, analysing, and assessing intelligence, and then work with a range of partners including MI6 and GCHQ to disrupt these threats. Through our protective security arm, we provide advice and guidance to government, businesses and other organisations about how to keep themselves safe. A role in MI5 means you'll do unique and challenging work in a supportive and encouraging environment, making a real difference to UK national security. The role Technology sits at the heart of everything we do at MI5. We're looking for Software Engineers with multiple years of experience who are prepared to take on a more senior role within a multi-disciplinary product team. You'll develop solutions, mentor less experienced colleagues whilst working alongside a range of technical specialists including Product Owners, Business Analysts, Delivery Managers, Data Scientists and Machine Learning Engineers, to build and run secure applications and products. You'll be using agile methodologies to deliver products that are core to MI5's operations, and you'll be using cloud technologies such as AWS and Azure as well, supporting on-premises platforms and long-established technologies and frameworks. You'll share our collective responsibility to keep the country safe and be keen to constantly improve yourself and your team, taking on ownership of large problems, breaking them down and working with the team to deliver new features throughout the engineering lifecycle. You'll support the products owned by the team, working with users to identify and fix defects (providing on-call support if necessary) developing automated tests to maintain the assurance of our products and deploy through continuous integration pipelines. You'll support and mentor less experienced colleagues and help them to understand what great engineering looks like, promoting best practises, participating in our engineering community and guilds, and encourage cross-organisation initiatives to help build our community of engineers. Many of our engineers work directly within our mission teams and all engineers have a unique opportunity to see first hand how their work contributes to UK national security, while remaining part of a supportive and inclusive technical profession. Our tech stacks vary between products (such as Java, Python, C#, React.js, Oracle, Mongo, Elastic Search and Hadoop to name a few). We embrace DevSecOps mindset, and our teams automate, run and support what we build. You'll be working under the Government Digital and Data Profession Capability Framework (formerly known as DDaT), which recognises and rewards specialist expertise. Due to the nature of our work, most of the teams only work from the office. There are limited opportunities to work in a hybrid way. This is not guaranteed and dependent on the business need. Whether it's building a platform to enable the analysis of data systems to track the progress of our investigations, developing robust and scalable capabilities for our Data Science teams, compliance services to ensure we are operating legally or tooling to improve our developer experience, the nature of our work presents unique and fascinating engineering challenges. About you We value your solid communication skills, as you communicate effectively with technical and non-technical colleagues. You'll demonstrate competency in leadership and you're continuously looking for opportunities to develop and learn new engineering practices and approaches. Training and development We're committed to developing you and recognise this will look different for everyone. We'll use the Government Digital and Data Profession Capability Framework (formerly known as DDaT) as a compass to provide guidance and tools to support you. You can find out more about the framework here: Government Digital and Data Profession Capability Framework. There'll be opportunities to gain qualifications and pursue specialist pathways, as well as undertaking tailored training, coaching and mentoring. You will also have up to 20% innovation and personal development time. As you develop, grow, and maintain your technical skills, you will have the opportunity to progress through GDDPCF pay points. You'll need to regularly demonstrate and accredit your skills based on the framework. If you don't maintain the required skills, you'll be given the opportunity and support to rectify this, as you could revert to a lower level of capability and pay. Rewards and benefits You'll receive a starting salary of between London: £66,332 - £70,791. Manchester: £64,005 - 68,185 (depending on skills and experience) plus other benefits including: 25 Days Annual Leave automatically rising to 30 days after 5 years' service, and an additional 10.5 days public and privilege holidays opportunities to be recognised through our employee performance scheme dedicated development budget interest free season ticket loan cycle to work scheme facilities such as a gym, restaurant and on site coffee bars (at some locations) paid parental and adoption leave. Equal opportunities At MI5 diversity and inclusion are critical to our mission. To protect the UK, we need a truly diverse workforce that reflects the society we serve. This includes diversity in every sense of the word: those with different backgrounds, ages, ethnicities, gender identities, sexual orientations, ways of thinking and those with disabilities or neurodivergent conditions. We therefore welcome and encourage applications from everyone, including those from groups that are under represented in our workforce such as women, those from an ethnic minority background, people with disabilities and those from low socio economic backgrounds. MI5 is proud to have achieved Leader status within the Department for Work and Pensions' Disability Confident scheme. This initiative encourages employers to think differently about disability and take action to improve how they recruit, retain and develop disabled people. As a Disability Confident Organisation, we aim to ensure that a fair and proportionate number of disabled applicants who best meet the essential criteria for this position will be offered an interview, where it is practical for us to do so. (This is known as the Offer of an interview.) To secure an interview for this role, you must meet the minimum criteria, all of which are assessed at the application sift. These criteria (in order of application process) are: Demonstrate ability in developing software in at least one common language (assessed at application form sift) Demonstrate an understanding of the principles of modern standards approaches such as continuous integration and delivery, test driven development and cloud services (assessed at application form sift) Demonstrate taking on a more senior role within a team. Provide technical direction and the ability to guide and support others with regards to software developing (assessed at application form sift) There is a wide range of extra support available throughout the recruitment process to enable you to do your best, see our website for information on reasonable adjustments we can offer. What to expect You'll be invited to upload your CV and complete an online application form. If you pass, you'll be invited to an interview where you will be asked questions relating to your motivation and our core competencies. If you pass, you'll be invited to a technical skill based interview based on the Government Digital and Data Profession Capability Framework for the role. This will cover drawing upon your experience for the following areas: Programming & Build including User Focus Information Security System Design If you pass, you'll be made a Conditional Offer of Employment, subject to vetting. Please note, you must successfully pass each stage of the process to progress to the next. Your application may take around 6 - 9 months to process including vetting, so we advise you to continue any current employment until you have received your final job offer. Before you apply To work at MI5 you need to be a British citizen or hold dual British nationality. You can read our full eligibility criteria here. This role requires the highest security clearance, known as Developed Vetting (DV). It's something everyone in the UK Intelligence Community undertakes. You can find out more about the vetting process here. Please note we have a strict drugs policy, so once you start your application, you can't take any recreational drugs and you'll need to declare your previous drug usage at the relevant stage. Before you apply, we advise you to consider setting up a separate email address for your contact with us, to ensure your personal and application correspondence remain separate . click apply for full job details
About Ripjar Ripjar specialises in the development of software and data products that help governments and organisations combat serious financial crime. Our technology is used to identify criminal activity such as money laundering and terrorist financing, enabling organisations to enforce sanctions at scale to help combat rogue entities and state actors. Data infuses everything Ripjar does. We work with a wide variety of datasets of all scales, including an ever-growing archive of billions of news articles covering most languages going back over 30 years, sanctions and watchlist data provided by governments, and vast organisation and ownership datasets. We are a remote first team, with a head office based in Cheltenham. This position is open to UK wide candidates. If you are based near Cheltenham, you are more than welcome to work from our office at any time. About the Role We see a Data Engineer as a software engineer who specialises in distributed data systems. You'll join the Data Engineering team, whose prime responsibility is the development and operation of the Data Collection Hub, a platform that ingests data from many sources, processes/enriches it, and distributes it to multiple downstream systems. We're looking for someone with 2+ years of industry experience building and operating production software who enjoys working across data pipelines, distributed systems, and operational reliability. What you'll do Engineer distributed ingestion services that reliably pull data from diverse sources, handle messy real-world edge cases, and deliver clean, well-structured outputs to multiple downstream products. Build high-throughput processing components (batch and/or near-real-time) with a focus on performance, scalability, and predictable cost, using strong profiling and measurement practices. Design and evolve data contracts (schemas, validation rules, versioning, backward compatibility) so downstream teams can build with confidence. Own production quality: write maintainable code, strong unit/integration tests, and add the observability you need (metrics/logs/tracing) to diagnose issues quickly. Improve platform reliability by hardening pipelines against partial failures, retries, rate limits, data drift, and infrastructure issues-then codify those learnings into better tooling and guardrails. Contribute to CI/CD and developer experience: faster builds, better test signal, safer releases, and automated operational checks. Participate in design reviews, code reviews, incident retrospectives, and iterative delivery-making pragmatic trade-offs and documenting them clearly. Technology Stack Languages: Predominantly Python and Node.js Distributed/data platforms: HDFS, HBase, Spark, plus increasing use of Kubernetes and cloud services Storage/search: MongoDB, OpenSearch Orchestration: Airflow, Dagster, NiFi Tooling: GitHub, GitHub Actions, Rundeck, Jira, Confluence Deployment/config: Ansible (physical), Terraform / Argo CD / Helm (Kubernetes) Development environment: MacBook (typical) Essential: 2+ years building and operating production software systems Fluency in at least one programming language (Python/Node.js a plus) Experience debugging moderately complex systems and improving reliability/performance Strong fundamentals: data structures, testing, version control, Linux basics Nice to have: Spark/PySpark experience Hadoop ecosystem exposure (HDFS/HBase) Workflow orchestration (Airflow/Dagster/NiFi) Search/indexing (OpenSearch, MongoDB) Kubernetes and infrastructure-as-code Degree in Computer Science or numerical degree Competitive salary DOE 25 days annual leave + your birthday off, in addition to bank holidays, rising to 30 days after 5 years of service. Remote working Private Family Healthcare. 35 hour working week. Employee Assistance Programme. Company contributions to your pension. Pension salary sacrifice. Enhanced maternity/paternity pay. The latest tech including a top of the range MacBook Pro.
18/07/2026
Full time
About Ripjar Ripjar specialises in the development of software and data products that help governments and organisations combat serious financial crime. Our technology is used to identify criminal activity such as money laundering and terrorist financing, enabling organisations to enforce sanctions at scale to help combat rogue entities and state actors. Data infuses everything Ripjar does. We work with a wide variety of datasets of all scales, including an ever-growing archive of billions of news articles covering most languages going back over 30 years, sanctions and watchlist data provided by governments, and vast organisation and ownership datasets. We are a remote first team, with a head office based in Cheltenham. This position is open to UK wide candidates. If you are based near Cheltenham, you are more than welcome to work from our office at any time. About the Role We see a Data Engineer as a software engineer who specialises in distributed data systems. You'll join the Data Engineering team, whose prime responsibility is the development and operation of the Data Collection Hub, a platform that ingests data from many sources, processes/enriches it, and distributes it to multiple downstream systems. We're looking for someone with 2+ years of industry experience building and operating production software who enjoys working across data pipelines, distributed systems, and operational reliability. What you'll do Engineer distributed ingestion services that reliably pull data from diverse sources, handle messy real-world edge cases, and deliver clean, well-structured outputs to multiple downstream products. Build high-throughput processing components (batch and/or near-real-time) with a focus on performance, scalability, and predictable cost, using strong profiling and measurement practices. Design and evolve data contracts (schemas, validation rules, versioning, backward compatibility) so downstream teams can build with confidence. Own production quality: write maintainable code, strong unit/integration tests, and add the observability you need (metrics/logs/tracing) to diagnose issues quickly. Improve platform reliability by hardening pipelines against partial failures, retries, rate limits, data drift, and infrastructure issues-then codify those learnings into better tooling and guardrails. Contribute to CI/CD and developer experience: faster builds, better test signal, safer releases, and automated operational checks. Participate in design reviews, code reviews, incident retrospectives, and iterative delivery-making pragmatic trade-offs and documenting them clearly. Technology Stack Languages: Predominantly Python and Node.js Distributed/data platforms: HDFS, HBase, Spark, plus increasing use of Kubernetes and cloud services Storage/search: MongoDB, OpenSearch Orchestration: Airflow, Dagster, NiFi Tooling: GitHub, GitHub Actions, Rundeck, Jira, Confluence Deployment/config: Ansible (physical), Terraform / Argo CD / Helm (Kubernetes) Development environment: MacBook (typical) Essential: 2+ years building and operating production software systems Fluency in at least one programming language (Python/Node.js a plus) Experience debugging moderately complex systems and improving reliability/performance Strong fundamentals: data structures, testing, version control, Linux basics Nice to have: Spark/PySpark experience Hadoop ecosystem exposure (HDFS/HBase) Workflow orchestration (Airflow/Dagster/NiFi) Search/indexing (OpenSearch, MongoDB) Kubernetes and infrastructure-as-code Degree in Computer Science or numerical degree Competitive salary DOE 25 days annual leave + your birthday off, in addition to bank holidays, rising to 30 days after 5 years of service. Remote working Private Family Healthcare. 35 hour working week. Employee Assistance Programme. Company contributions to your pension. Pension salary sacrifice. Enhanced maternity/paternity pay. The latest tech including a top of the range MacBook Pro.
Salary: London: £66,332 - £70,791. Manchester: £64,005 - 68,185 (depending on skills and experience) with an opportunity to qualify for additional allowances and a skills-related payment under the Government Digital and Data Profession Capability Framework (GDDPCF) - formerly known as DDaT. London roles - 36 hours per week, Manchester roles - 37 hours per week. Flexible working: we support full-time, part-time, compressed hours and other flexible working patterns. This is primarily an office-based role, and therefore, opportunities for home or remote working will be limited and dependent on business needs. About us MI5 keeps the country safe from serious threats like terrorism and attempts by states to harm the UK, its people and way of life. We carry out investigations by obtaining, analysing, and assessing intelligence, and then work with a range of partners including MI6 and GCHQ to disrupt these threats. Through our protective security arm, we provide advice and guidance to government, businesses and other organisations about how to keep themselves safe. A role in MI5 means you'll do unique and challenging work in a supportive and encouraging environment, making a real difference to UK national security. The role Technology sits at the heart of everything we do at MI5. We're looking for Software Engineers with multiple years of experience who are prepared to take on a more senior role within a multi-disciplinary product team. You'll develop solutions, mentor less experienced colleagues whilst working alongside a range of technical specialists including Product Owners, Business Analysts, Delivery Managers, Data Scientists and Machine Learning Engineers, to build and run secure applications and products. You'll be using agile methodologies to deliver products that are core to MI5's operations, and you'll be using cloud technologies such as AWS and Azure as well, supporting on-premises platforms and long-established technologies and frameworks. You'll share our collective responsibility to keep the country safe and be keen to constantly improve yourself and your team, taking on ownership of large problems, breaking them down and working with the team to deliver new features throughout the engineering lifecycle. You'll support the products owned by the team, working with users to identify and fix defects (providing on-call support if necessary) developing automated tests to maintain the assurance of our products and deploy through continuous integration pipelines. You'll support and mentor less experienced colleagues and help them to understand what great engineering looks like, promoting best practises, participating in our engineering community and guilds, and encourage cross-organisation initiatives to help build our community of engineers. Many of our engineers work directly within our mission teams and all engineers have a unique opportunity to see first hand how their work contributes to UK national security, while remaining part of a supportive and inclusive technical profession. Our tech stacks vary between products (such as Java, Python, C#, React.js, Oracle, Mongo, Elastic Search and Hadoop to name a few). We embrace DevSecOps mindset, and our teams automate, run and support what we build. You'll be working under the Government Digital and Data Profession Capability Framework (formerly known as DDaT), which recognises and rewards specialist expertise. Due to the nature of our work, most of the teams only work from the office. There are limited opportunities to work in a hybrid way. This is not guaranteed and dependent on the business need. Whether it's building a platform to enable the analysis of data systems to track the progress of our investigations, developing robust and scalable capabilities for our Data Science teams, compliance services to ensure we are operating legally or tooling to improve our developer experience, the nature of our work presents unique and fascinating engineering challenges. About you We value your solid communication skills, as you communicate effectively with technical and non-technical colleagues. You'll demonstrate competency in leadership and you're continuously looking for opportunities to develop and learn new engineering practices and approaches. Training and development We're committed to developing you and recognise this will look different for everyone. We'll use the Government Digital and Data Profession Capability Framework (formerly known as DDaT) as a compass to provide guidance and tools to support you. You can find out more about the framework here: Government Digital and Data Profession Capability Framework. There'll be opportunities to gain qualifications and pursue specialist pathways, as well as undertaking tailored training, coaching and mentoring. You will also have up to 20% innovation and personal development time. As you develop, grow, and maintain your technical skills, you will have the opportunity to progress through GDDPCF pay points. You'll need to regularly demonstrate and accredit your skills based on the framework. If you don't maintain the required skills, you'll be given the opportunity and support to rectify this, as you could revert to a lower level of capability and pay. Rewards and benefits You'll receive a starting salary of between London: £66,332 - £70,791. Manchester: £64,005 - 68,185 (depending on skills and experience) plus other benefits including: 25 Days Annual Leave automatically rising to 30 days after 5 years' service, and an additional 10.5 days public and privilege holidays opportunities to be recognised through our employee performance scheme dedicated development budget interest free season ticket loan cycle to work scheme facilities such as a gym, restaurant and on site coffee bars (at some locations) paid parental and adoption leave. Equal opportunities At MI5 diversity and inclusion are critical to our mission. To protect the UK, we need a truly diverse workforce that reflects the society we serve. This includes diversity in every sense of the word: those with different backgrounds, ages, ethnicities, gender identities, sexual orientations, ways of thinking and those with disabilities or neurodivergent conditions. We therefore welcome and encourage applications from everyone, including those from groups that are under represented in our workforce such as women, those from an ethnic minority background, people with disabilities and those from low socio economic backgrounds. MI5 is proud to have achieved Leader status within the Department for Work and Pensions' Disability Confident scheme. This initiative encourages employers to think differently about disability and take action to improve how they recruit, retain and develop disabled people. As a Disability Confident Organisation, we aim to ensure that a fair and proportionate number of disabled applicants who best meet the essential criteria for this position will be offered an interview, where it is practical for us to do so. (This is known as the Offer of an interview.) To secure an interview for this role, you must meet the minimum criteria, all of which are assessed at the application sift. These criteria (in order of application process) are: Demonstrate ability in developing software in at least one common language (assessed at application form sift) Demonstrate an understanding of the principles of modern standards approaches such as continuous integration and delivery, test driven development and cloud services (assessed at application form sift) Demonstrate taking on a more senior role within a team. Provide technical direction and the ability to guide and support others with regards to software developing (assessed at application form sift) There is a wide range of extra support available throughout the recruitment process to enable you to do your best, see our website for information on reasonable adjustments we can offer. What to expect You'll be invited to upload your CV and complete an online application form. If you pass, you'll be invited to an interview where you will be asked questions relating to your motivation and our core competencies. If you pass, you'll be invited to a technical skill based interview based on the Government Digital and Data Profession Capability Framework for the role. This will cover drawing upon your experience for the following areas: Programming & Build including User Focus Information Security System Design If you pass, you'll be made a Conditional Offer of Employment, subject to vetting. Please note, you must successfully pass each stage of the process to progress to the next. Your application may take around 6 - 9 months to process including vetting, so we advise you to continue any current employment until you have received your final job offer. Before you apply To work at MI5 you need to be a British citizen or hold dual British nationality. You can read our full eligibility criteria here. This role requires the highest security clearance, known as Developed Vetting (DV). It's something everyone in the UK Intelligence Community undertakes. You can find out more about the vetting process here. Please note we have a strict drugs policy, so once you start your application, you can't take any recreational drugs and you'll need to declare your previous drug usage at the relevant stage. Before you apply, we advise you to consider setting up a separate email address for your contact with us, to ensure your personal and application correspondence remain separate . click apply for full job details
18/07/2026
Full time
Salary: London: £66,332 - £70,791. Manchester: £64,005 - 68,185 (depending on skills and experience) with an opportunity to qualify for additional allowances and a skills-related payment under the Government Digital and Data Profession Capability Framework (GDDPCF) - formerly known as DDaT. London roles - 36 hours per week, Manchester roles - 37 hours per week. Flexible working: we support full-time, part-time, compressed hours and other flexible working patterns. This is primarily an office-based role, and therefore, opportunities for home or remote working will be limited and dependent on business needs. About us MI5 keeps the country safe from serious threats like terrorism and attempts by states to harm the UK, its people and way of life. We carry out investigations by obtaining, analysing, and assessing intelligence, and then work with a range of partners including MI6 and GCHQ to disrupt these threats. Through our protective security arm, we provide advice and guidance to government, businesses and other organisations about how to keep themselves safe. A role in MI5 means you'll do unique and challenging work in a supportive and encouraging environment, making a real difference to UK national security. The role Technology sits at the heart of everything we do at MI5. We're looking for Software Engineers with multiple years of experience who are prepared to take on a more senior role within a multi-disciplinary product team. You'll develop solutions, mentor less experienced colleagues whilst working alongside a range of technical specialists including Product Owners, Business Analysts, Delivery Managers, Data Scientists and Machine Learning Engineers, to build and run secure applications and products. You'll be using agile methodologies to deliver products that are core to MI5's operations, and you'll be using cloud technologies such as AWS and Azure as well, supporting on-premises platforms and long-established technologies and frameworks. You'll share our collective responsibility to keep the country safe and be keen to constantly improve yourself and your team, taking on ownership of large problems, breaking them down and working with the team to deliver new features throughout the engineering lifecycle. You'll support the products owned by the team, working with users to identify and fix defects (providing on-call support if necessary) developing automated tests to maintain the assurance of our products and deploy through continuous integration pipelines. You'll support and mentor less experienced colleagues and help them to understand what great engineering looks like, promoting best practises, participating in our engineering community and guilds, and encourage cross-organisation initiatives to help build our community of engineers. Many of our engineers work directly within our mission teams and all engineers have a unique opportunity to see first hand how their work contributes to UK national security, while remaining part of a supportive and inclusive technical profession. Our tech stacks vary between products (such as Java, Python, C#, React.js, Oracle, Mongo, Elastic Search and Hadoop to name a few). We embrace DevSecOps mindset, and our teams automate, run and support what we build. You'll be working under the Government Digital and Data Profession Capability Framework (formerly known as DDaT), which recognises and rewards specialist expertise. Due to the nature of our work, most of the teams only work from the office. There are limited opportunities to work in a hybrid way. This is not guaranteed and dependent on the business need. Whether it's building a platform to enable the analysis of data systems to track the progress of our investigations, developing robust and scalable capabilities for our Data Science teams, compliance services to ensure we are operating legally or tooling to improve our developer experience, the nature of our work presents unique and fascinating engineering challenges. About you We value your solid communication skills, as you communicate effectively with technical and non-technical colleagues. You'll demonstrate competency in leadership and you're continuously looking for opportunities to develop and learn new engineering practices and approaches. Training and development We're committed to developing you and recognise this will look different for everyone. We'll use the Government Digital and Data Profession Capability Framework (formerly known as DDaT) as a compass to provide guidance and tools to support you. You can find out more about the framework here: Government Digital and Data Profession Capability Framework. There'll be opportunities to gain qualifications and pursue specialist pathways, as well as undertaking tailored training, coaching and mentoring. You will also have up to 20% innovation and personal development time. As you develop, grow, and maintain your technical skills, you will have the opportunity to progress through GDDPCF pay points. You'll need to regularly demonstrate and accredit your skills based on the framework. If you don't maintain the required skills, you'll be given the opportunity and support to rectify this, as you could revert to a lower level of capability and pay. Rewards and benefits You'll receive a starting salary of between London: £66,332 - £70,791. Manchester: £64,005 - 68,185 (depending on skills and experience) plus other benefits including: 25 Days Annual Leave automatically rising to 30 days after 5 years' service, and an additional 10.5 days public and privilege holidays opportunities to be recognised through our employee performance scheme dedicated development budget interest free season ticket loan cycle to work scheme facilities such as a gym, restaurant and on site coffee bars (at some locations) paid parental and adoption leave. Equal opportunities At MI5 diversity and inclusion are critical to our mission. To protect the UK, we need a truly diverse workforce that reflects the society we serve. This includes diversity in every sense of the word: those with different backgrounds, ages, ethnicities, gender identities, sexual orientations, ways of thinking and those with disabilities or neurodivergent conditions. We therefore welcome and encourage applications from everyone, including those from groups that are under represented in our workforce such as women, those from an ethnic minority background, people with disabilities and those from low socio economic backgrounds. MI5 is proud to have achieved Leader status within the Department for Work and Pensions' Disability Confident scheme. This initiative encourages employers to think differently about disability and take action to improve how they recruit, retain and develop disabled people. As a Disability Confident Organisation, we aim to ensure that a fair and proportionate number of disabled applicants who best meet the essential criteria for this position will be offered an interview, where it is practical for us to do so. (This is known as the Offer of an interview.) To secure an interview for this role, you must meet the minimum criteria, all of which are assessed at the application sift. These criteria (in order of application process) are: Demonstrate ability in developing software in at least one common language (assessed at application form sift) Demonstrate an understanding of the principles of modern standards approaches such as continuous integration and delivery, test driven development and cloud services (assessed at application form sift) Demonstrate taking on a more senior role within a team. Provide technical direction and the ability to guide and support others with regards to software developing (assessed at application form sift) There is a wide range of extra support available throughout the recruitment process to enable you to do your best, see our website for information on reasonable adjustments we can offer. What to expect You'll be invited to upload your CV and complete an online application form. If you pass, you'll be invited to an interview where you will be asked questions relating to your motivation and our core competencies. If you pass, you'll be invited to a technical skill based interview based on the Government Digital and Data Profession Capability Framework for the role. This will cover drawing upon your experience for the following areas: Programming & Build including User Focus Information Security System Design If you pass, you'll be made a Conditional Offer of Employment, subject to vetting. Please note, you must successfully pass each stage of the process to progress to the next. Your application may take around 6 - 9 months to process including vetting, so we advise you to continue any current employment until you have received your final job offer. Before you apply To work at MI5 you need to be a British citizen or hold dual British nationality. You can read our full eligibility criteria here. This role requires the highest security clearance, known as Developed Vetting (DV). It's something everyone in the UK Intelligence Community undertakes. You can find out more about the vetting process here. Please note we have a strict drugs policy, so once you start your application, you can't take any recreational drugs and you'll need to declare your previous drug usage at the relevant stage. Before you apply, we advise you to consider setting up a separate email address for your contact with us, to ensure your personal and application correspondence remain separate . click apply for full job details
About RoomPriceGenie Founded in 2017, RoomPriceGenie is dedicated to helping hoteliers around the globe achieve optimal pricing. We understand that many small hotels face challenges with digitalization, making their operations increasingly complex and often resulting in lost revenue. This is where we come in! We have developed a powerful solution that enables hotels to set the right prices in just seconds. Our state-of-the-art algorithm analyzes both internal hotel data and market trends to recommend pricing strategies that enhance revenue and improve booking rates. With customers spanning the globe-from the USA and Canada to Iceland, South Africa, China, Slovenia, Italy, and the UK-RoomPriceGenie has made a meaningful impact in the hospitality industry, and our clients love the results. Now, we are excited to expand our customer base and spread the word about how we can support hoteliers in optimizing their pricing strategies. We invite you to join us on this journey! We actively encourage applications from candidates with diverse backgrounds to enrich our team and drive innovation. Your Role As a Senior Fullstack Engineer (Frontend-Focused) in the Customer Journey Team (Growth) at RoomPriceGenie, you'll build the user-facing experiences that drive activation, engagement, and long-term success. Your primary focus will be on frontend development using React and TypeScript, crafting intuitive, high-quality user interfaces and experiences. You'll work closely with backend systems and should feel comfortable navigating and contributing to our Python/Django services when needed. You'll operate with high autonomy, combining technical excellence with strong product awareness. Together with Product and Design, you'll help us build a data-informed, experimentation-driven product that continuously improves the customer journey. What You'll Do Design, build and maintain high-quality, scalable frontend applications using React and TypeScript. Own the end-to-end development of user-facing features, from UX implementation to backend integration. Collaborate closely with backend engineers and contribute to Python/Django services when needed. Take end-to-end ownership of product initiatives, from discovery to deployment, monitoring and iteration. Write clean, maintainable and well-tested code, applying modern frontend testing practices. Partner with Product, Data and Design to deliver impactful user experiences. Ensure strong performance, accessibility and usability across the frontend. Help instrument the frontend with the right events and data signals for analytics and experimentation. Participate in architecture discussions and technical reviews, especially around frontend and API design. Drive continuous improvement in frontend architecture, tooling and developer experience. Your Profile Strong professional experience as a Senior Software Engineer, with a focus on frontend development. Advanced proficiency in React and TypeScript (or similar modern frontend frameworks). Solid understanding of frontend architecture, state management and performance optimization. Comfortable working with Python/Django backends - able to read, understand and contribute when needed. Strong understanding of software design and testing practices. Experience working in product-driven SaaS environments is a strong plus. Familiarity with CI/CD pipelines, AWS infrastructure and modern observability tools. A product-minded engineer who understands user needs and builds with impact in mind. High ownership mentality - you enjoy taking features from idea to measurable outcome. Strong collaboration and communication skills. Fluent in English and based in the European time zone (UTC+0 to UTC+2). Nice to Have Experience with either: Design systems, component libraries and frontend scalability patterns. Product analytics and experimentation tooling. Event-driven architectures (Kafka, Celery, message queues). Data platforms (Snowflake, Airflow, dbt, Dagster, Cube). What We Offer at RoomPriceGenie At RoomPriceGenie, we don't just offer jobs; we offer an adventure! Join us in an exciting startup atmosphere where you can grow your career while changing the world for tens of thousands of independent hoteliers. Our global and diverse team is fueled by passion and a shared mission. We thrive in a culture that's all about transparency, respect, and making a real impact together. Here's what you can expect when you become part of our Genie family: Remote-First Model: You can work flexibly from anywhere. At the same time, we support co-working and you're of course welcome to work from our offices in Mannheim, Berlin, or Sydney whenever you like. One Team, One Vision, One Goal: We're in this together! Our Genies are laser-focused on our mission, collaborating to make magic happen. It's no wonder we score a stellar 9.3 from our team members! Epic Team Gatherings: Every year, we bring our global crew together for a week of networking, brainstorming, and fun. Plus, enjoy regular hangouts in our offices to keep the camaraderie alive. Growth and Development: We're all about lifelong learning! Level up your skills with personal and professional development opportunities. You'll even snag up to three extra days off each year to focus on your growth. 5 Years? 5 Weeks! Stick with us, and we'll reward your loyalty. After five years, you'll earn an incredible five weeks of bonus vacation time to recharge and explore the world. Birthday Celebrations: It's your day, so take it off! Celebrate your birthday the way you want, guilt-free. Flexible Hours: We get it-life happens! We offer flexible working hours to help you balance your work and personal life seamlessly. Wellbeing Matters: Your mental health is a top priority. Every Genie gets access to Headspace, the leading meditation app, to help you cultivate a happier, healthier, and more zen life. BetterHelp Support: We also offer BetterHelp, a professional online therapy and counseling platform, giving you additional support whenever you need it.
17/07/2026
Full time
About RoomPriceGenie Founded in 2017, RoomPriceGenie is dedicated to helping hoteliers around the globe achieve optimal pricing. We understand that many small hotels face challenges with digitalization, making their operations increasingly complex and often resulting in lost revenue. This is where we come in! We have developed a powerful solution that enables hotels to set the right prices in just seconds. Our state-of-the-art algorithm analyzes both internal hotel data and market trends to recommend pricing strategies that enhance revenue and improve booking rates. With customers spanning the globe-from the USA and Canada to Iceland, South Africa, China, Slovenia, Italy, and the UK-RoomPriceGenie has made a meaningful impact in the hospitality industry, and our clients love the results. Now, we are excited to expand our customer base and spread the word about how we can support hoteliers in optimizing their pricing strategies. We invite you to join us on this journey! We actively encourage applications from candidates with diverse backgrounds to enrich our team and drive innovation. Your Role As a Senior Fullstack Engineer (Frontend-Focused) in the Customer Journey Team (Growth) at RoomPriceGenie, you'll build the user-facing experiences that drive activation, engagement, and long-term success. Your primary focus will be on frontend development using React and TypeScript, crafting intuitive, high-quality user interfaces and experiences. You'll work closely with backend systems and should feel comfortable navigating and contributing to our Python/Django services when needed. You'll operate with high autonomy, combining technical excellence with strong product awareness. Together with Product and Design, you'll help us build a data-informed, experimentation-driven product that continuously improves the customer journey. What You'll Do Design, build and maintain high-quality, scalable frontend applications using React and TypeScript. Own the end-to-end development of user-facing features, from UX implementation to backend integration. Collaborate closely with backend engineers and contribute to Python/Django services when needed. Take end-to-end ownership of product initiatives, from discovery to deployment, monitoring and iteration. Write clean, maintainable and well-tested code, applying modern frontend testing practices. Partner with Product, Data and Design to deliver impactful user experiences. Ensure strong performance, accessibility and usability across the frontend. Help instrument the frontend with the right events and data signals for analytics and experimentation. Participate in architecture discussions and technical reviews, especially around frontend and API design. Drive continuous improvement in frontend architecture, tooling and developer experience. Your Profile Strong professional experience as a Senior Software Engineer, with a focus on frontend development. Advanced proficiency in React and TypeScript (or similar modern frontend frameworks). Solid understanding of frontend architecture, state management and performance optimization. Comfortable working with Python/Django backends - able to read, understand and contribute when needed. Strong understanding of software design and testing practices. Experience working in product-driven SaaS environments is a strong plus. Familiarity with CI/CD pipelines, AWS infrastructure and modern observability tools. A product-minded engineer who understands user needs and builds with impact in mind. High ownership mentality - you enjoy taking features from idea to measurable outcome. Strong collaboration and communication skills. Fluent in English and based in the European time zone (UTC+0 to UTC+2). Nice to Have Experience with either: Design systems, component libraries and frontend scalability patterns. Product analytics and experimentation tooling. Event-driven architectures (Kafka, Celery, message queues). Data platforms (Snowflake, Airflow, dbt, Dagster, Cube). What We Offer at RoomPriceGenie At RoomPriceGenie, we don't just offer jobs; we offer an adventure! Join us in an exciting startup atmosphere where you can grow your career while changing the world for tens of thousands of independent hoteliers. Our global and diverse team is fueled by passion and a shared mission. We thrive in a culture that's all about transparency, respect, and making a real impact together. Here's what you can expect when you become part of our Genie family: Remote-First Model: You can work flexibly from anywhere. At the same time, we support co-working and you're of course welcome to work from our offices in Mannheim, Berlin, or Sydney whenever you like. One Team, One Vision, One Goal: We're in this together! Our Genies are laser-focused on our mission, collaborating to make magic happen. It's no wonder we score a stellar 9.3 from our team members! Epic Team Gatherings: Every year, we bring our global crew together for a week of networking, brainstorming, and fun. Plus, enjoy regular hangouts in our offices to keep the camaraderie alive. Growth and Development: We're all about lifelong learning! Level up your skills with personal and professional development opportunities. You'll even snag up to three extra days off each year to focus on your growth. 5 Years? 5 Weeks! Stick with us, and we'll reward your loyalty. After five years, you'll earn an incredible five weeks of bonus vacation time to recharge and explore the world. Birthday Celebrations: It's your day, so take it off! Celebrate your birthday the way you want, guilt-free. Flexible Hours: We get it-life happens! We offer flexible working hours to help you balance your work and personal life seamlessly. Wellbeing Matters: Your mental health is a top priority. Every Genie gets access to Headspace, the leading meditation app, to help you cultivate a happier, healthier, and more zen life. BetterHelp Support: We also offer BetterHelp, a professional online therapy and counseling platform, giving you additional support whenever you need it.
Description Contract hours: Full time Location: Remote (within 2 hours of London timezone) Salary: €25k - €30k depending on experience About Adzuna Adzuna is a job search engine that lists every job, everywhere. From our launch in the UK in 2011, we now have tens of millions of visitors a month and are busy conquering the world from our HQ in West London alongside our remote teams - helping millions of people find better, more fulfilling jobs. We already have a suite of AI powered tools (such as ValueMyCV, Prepper and ApplyIQ) built by our talented team and their passion for building new AI powered tech for job seekers. We're a commercially minded team that moves fast, takes ownership and loves what we do. About the Role This is a fantastic opportunity for a talented Junior Python Developer to join our fast moving AI & Innovation Team. You will play a vital role in building and maintaining our full stack - scaling robust backend services, while developing the user facing web components that power our cutting edge AI products and jobseeking tools. You'll be working in a tight knit, cross functional team alongside Product Managers, Data Scientists and Senior Engineers. This is a high growth role where you will learn how to transition machine learning prototypes into robust, production ready applications for millions of users, while simultaneously honing your coding, frontend and architecture skills. What You'll Do Fullstack Development: Write clean, testable, and efficient Python code to support our core AI products and automated search and apply tools. Model Integration: Collaborate closely with our Data Scientists to integrate machine learning models, LLM pipelines and agentic frameworks into our live production stack. API & Data Pipelines: Build and maintain scalable APIs and data workflows to handle large volumes of job vacancy data. Infrastructure & DevOps: Help manage and optimise our AWS infrastructure, ensuring high availability and smooth deployment processes. Testing & Quality: Write robust unit and integration tests to ensure system reliability and mitigate deployment risks. Tech Stack Includes Languages & Frameworks: Python, Spark, LLMs & LLM coding tools Frontend: React, HTML, CSS (Tailwind) AWS Ecosystem: EC2, S3, Lambda, Step Functions, RDS, Athena, Kinesis Databases & Search: PostgreSQL, MySQL, SOLR While we look out for all of these skills, we do not expect experience in all of them. We value a strong foundation in core programming principles and a genuine eagerness to learn. Experience: 1-2 years of commercial software development experience using Python Location: Fully remote (must be located within a 2 hour timezone of London and able to work standard UK business hours). Right to Work: This is a long term role structured via a contractor agreement for international remote compliance. Candidates must have the legal right to work remotely as an independent contractor in their country of residence. We are unable to provide visa sponsorship for this position now or in the future. Communication: Professional proficiency in English (both written and verbal) to collaborate effectively with a global team. Education: A technical degree (2:1 or equivalent) in Computer Science, Software Engineering, or a highly relevant field. Core Coding Skills: Solid understanding of Python fundamentals and object oriented programming. Execution: Record of writing clean, maintainable Python code into live, user-facing environments. Databases: Good working knowledge of SQL and relational databases. Cloud & Tools: Familiarity with AWS services and Git version control. Mindset: A curious, proactive fast learner who loves solving technical puzzles and is excited by the AI/ML space. Nice to have: Frontend Coding Skills: Familiarity with HTML, CSS (Tailwind) and React to assist in building fullstack user interfaces. AI Applications: Experience with coding LLMs into production applications, and effectively utilising LLM coding tools in your daily workflow. Browser Automation: Understanding of web scraping techniques, DOM parsing, and bypassing common bot-detection. Experience with browser automation and testing tools (e.g. Playwright, Selenium). Portfolio: An active GitHub profile showcasing examples of your work, or personal projects. Reward: Our package which includes a competitive salary and stock options (we are all owners!). Wellbeing: Amongst other things, enhanced maternity and paternity leave; 25 days paid holiday per year plus 8 bank holidays; 3 paid volunteer days/year; Summer hours through July and August (we finish at 4pm on a Friday); and a full programme of wellbeing activities and events. Hybrid working: We are a fully hybrid company - half our workforce is remote. With employees located in different time zones, we embrace asynchronous work and ensure that everything we do reflects the hybrid nature of our workforce so that everyone feels included. In addition, we have a travel programme, to help facilitate effective hybrid working. Diversity & inclusion: We are committed to hiring a diverse workforce and creating an environment where everyone feels included and welcome. Our D&I committee helps deliver a programme of activities and actions to support this important area. Training: Learning and development is an important pillar of our culture and there are plenty of opportunities to learn, develop and grow whether through our Adzuna Academy training programme, attending conferences, team training budgets, individual development plans and coaching from experienced and supportive peers and managers. Fun stuff: We have a packed social calendar, twice yearly global team get-togethers and an enviable culture thanks to the amazing and smart people who make Adzuna a great place to work. Lots of this is done virtually to ensure that everyone is included. A bit more about Adzuna Adzuna is an established and profitable job search engine that lists every job, everywhere. Launched in 2011, we help over 10 million visitors a month in 19 markets find better, more fulfilling jobs. Governments and the world's largest companies trust us for our unique global audience and jobs market intelligence, and we walk the walk on things like salary transparency and gender pay. Adzuna's success to date has been down to the skills and determination of our brilliant staff and their passion for job seekers. If you like the sound of applying your skills in a pivotal role in a leading global technology business, apply to join us today. We treat jobseekers as people, not as products. We do the same for our team, seeing the diverse range of strengths they bring to our business. Regardless of background, race, gender, sexuality or ability, we welcome everyone to our team. Our people are the most important asset we have. Please let us know if we need to accommodate a disability during the hiring process, so that we can give you the support you need. Proud member of the Disability Confident employer scheme.
16/07/2026
Full time
Description Contract hours: Full time Location: Remote (within 2 hours of London timezone) Salary: €25k - €30k depending on experience About Adzuna Adzuna is a job search engine that lists every job, everywhere. From our launch in the UK in 2011, we now have tens of millions of visitors a month and are busy conquering the world from our HQ in West London alongside our remote teams - helping millions of people find better, more fulfilling jobs. We already have a suite of AI powered tools (such as ValueMyCV, Prepper and ApplyIQ) built by our talented team and their passion for building new AI powered tech for job seekers. We're a commercially minded team that moves fast, takes ownership and loves what we do. About the Role This is a fantastic opportunity for a talented Junior Python Developer to join our fast moving AI & Innovation Team. You will play a vital role in building and maintaining our full stack - scaling robust backend services, while developing the user facing web components that power our cutting edge AI products and jobseeking tools. You'll be working in a tight knit, cross functional team alongside Product Managers, Data Scientists and Senior Engineers. This is a high growth role where you will learn how to transition machine learning prototypes into robust, production ready applications for millions of users, while simultaneously honing your coding, frontend and architecture skills. What You'll Do Fullstack Development: Write clean, testable, and efficient Python code to support our core AI products and automated search and apply tools. Model Integration: Collaborate closely with our Data Scientists to integrate machine learning models, LLM pipelines and agentic frameworks into our live production stack. API & Data Pipelines: Build and maintain scalable APIs and data workflows to handle large volumes of job vacancy data. Infrastructure & DevOps: Help manage and optimise our AWS infrastructure, ensuring high availability and smooth deployment processes. Testing & Quality: Write robust unit and integration tests to ensure system reliability and mitigate deployment risks. Tech Stack Includes Languages & Frameworks: Python, Spark, LLMs & LLM coding tools Frontend: React, HTML, CSS (Tailwind) AWS Ecosystem: EC2, S3, Lambda, Step Functions, RDS, Athena, Kinesis Databases & Search: PostgreSQL, MySQL, SOLR While we look out for all of these skills, we do not expect experience in all of them. We value a strong foundation in core programming principles and a genuine eagerness to learn. Experience: 1-2 years of commercial software development experience using Python Location: Fully remote (must be located within a 2 hour timezone of London and able to work standard UK business hours). Right to Work: This is a long term role structured via a contractor agreement for international remote compliance. Candidates must have the legal right to work remotely as an independent contractor in their country of residence. We are unable to provide visa sponsorship for this position now or in the future. Communication: Professional proficiency in English (both written and verbal) to collaborate effectively with a global team. Education: A technical degree (2:1 or equivalent) in Computer Science, Software Engineering, or a highly relevant field. Core Coding Skills: Solid understanding of Python fundamentals and object oriented programming. Execution: Record of writing clean, maintainable Python code into live, user-facing environments. Databases: Good working knowledge of SQL and relational databases. Cloud & Tools: Familiarity with AWS services and Git version control. Mindset: A curious, proactive fast learner who loves solving technical puzzles and is excited by the AI/ML space. Nice to have: Frontend Coding Skills: Familiarity with HTML, CSS (Tailwind) and React to assist in building fullstack user interfaces. AI Applications: Experience with coding LLMs into production applications, and effectively utilising LLM coding tools in your daily workflow. Browser Automation: Understanding of web scraping techniques, DOM parsing, and bypassing common bot-detection. Experience with browser automation and testing tools (e.g. Playwright, Selenium). Portfolio: An active GitHub profile showcasing examples of your work, or personal projects. Reward: Our package which includes a competitive salary and stock options (we are all owners!). Wellbeing: Amongst other things, enhanced maternity and paternity leave; 25 days paid holiday per year plus 8 bank holidays; 3 paid volunteer days/year; Summer hours through July and August (we finish at 4pm on a Friday); and a full programme of wellbeing activities and events. Hybrid working: We are a fully hybrid company - half our workforce is remote. With employees located in different time zones, we embrace asynchronous work and ensure that everything we do reflects the hybrid nature of our workforce so that everyone feels included. In addition, we have a travel programme, to help facilitate effective hybrid working. Diversity & inclusion: We are committed to hiring a diverse workforce and creating an environment where everyone feels included and welcome. Our D&I committee helps deliver a programme of activities and actions to support this important area. Training: Learning and development is an important pillar of our culture and there are plenty of opportunities to learn, develop and grow whether through our Adzuna Academy training programme, attending conferences, team training budgets, individual development plans and coaching from experienced and supportive peers and managers. Fun stuff: We have a packed social calendar, twice yearly global team get-togethers and an enviable culture thanks to the amazing and smart people who make Adzuna a great place to work. Lots of this is done virtually to ensure that everyone is included. A bit more about Adzuna Adzuna is an established and profitable job search engine that lists every job, everywhere. Launched in 2011, we help over 10 million visitors a month in 19 markets find better, more fulfilling jobs. Governments and the world's largest companies trust us for our unique global audience and jobs market intelligence, and we walk the walk on things like salary transparency and gender pay. Adzuna's success to date has been down to the skills and determination of our brilliant staff and their passion for job seekers. If you like the sound of applying your skills in a pivotal role in a leading global technology business, apply to join us today. We treat jobseekers as people, not as products. We do the same for our team, seeing the diverse range of strengths they bring to our business. Regardless of background, race, gender, sexuality or ability, we welcome everyone to our team. Our people are the most important asset we have. Please let us know if we need to accommodate a disability during the hiring process, so that we can give you the support you need. Proud member of the Disability Confident employer scheme.
