1 to 25 of 26 Release Automation Jobs in the UK excluding London

Title: Release Engineer (Mobile iOS, Android & Backend) Mandatory Skills Excellent verbal and written communication with proactive stakeholder management. Mobile application release lifecycle expertise (iOS & Android). Experience with mobile CI/CD and release automation. Git, GitHub, GitHub Actions and/or CircleCI. Kubernetes fundamentals. Feature flag … management in production environments. Cross-functional release coordination across Product, Engineering and QA. Overview We are seeking an experienced and highly organised Release Engineer to oversee the end-to-end release lifecycle of our native mobile applications (iOS and Android) and supporting backend services. This role bridges ...

Title: Release Engineer (Mobile – iOS, Android & Backend) Mandatory Skills • Excellent verbal and written communication with proactive stakeholder management. • Mobile application release lifecycle expertise (iOS & Android). • Experience with mobile CI/CD and release automation. • Git, GitHub, GitHub Actions and/or CircleCI. • Kubernetes fundamentals. • Feature flag … management in production environments. • Cross-functional release coordination across Product, Engineering and QA. Overview We are seeking an experienced and highly organised Release Engineer to oversee the end-to-end release lifecycle of our native mobile applications (iOS and Android) and supporting backend services. This role bridges ...

Engineer - Vice President at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you will own the automation, reliability, and production operations of our agentic AI and machine learning products. As the team takes end-to-end ownership of the platforms … Tech AIML team, reporting to the Head of AI, IPB Tech. Job responsibilitiesOwns and evolves the team's CI/CD pipelines, release automation, and deployment toolingEstablishes reliability practices (SLOs, error budgets, runbooks) and leads production incident response and post-incident reviewBuilds and operates observability across the team ...

Engineer - Vice President at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you will own the automation, reliability, and production operations of our agentic AI and machine learning products. As the team takes end-to-end ownership of the platforms … Tech AIML team, reporting to the Head of AI, IPB Tech. Job responsibilities Owns and evolves the team's CI/CD pipelines, release automation, and deployment tooling Establishes reliability practices (SLOs, error budgets, runbooks) and leads production incident response and post-incident review Builds and operates observability ...

Engineer - Vice President at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you will own the automation, reliability, and production operations of our agentic AI and machine learning products. As the team takes end-to-end ownership of the platforms … Tech AIML team, reporting to the Head of AI, IPB Tech. Job responsibilities Owns and evolves the team's CI/CD pipelines, release automation, and deployment tooling Establishes reliability practices (SLOs, error budgets, runbooks) and leads production incident response and post-incident review Builds and operates observability ...

/strategist role drives org-wide improvements in engineering productivity, delivery throughput, quality, security posture, and cost efficiency by building platforms, working practices and automation (including AI/LLM-enabled capabilities) that scale across geographies and time zones. How will I use AI at Roku? At Roku … while our people bring direction, judgment, and accountability. We're looking for curious, adaptable builders who can show how they've used AI or automation to move faster, raise the bar, and scale their impact. We value your AI skills if have built fluency across the agentic engineering toolchain ...

/strategist role drives org-wide improvements in engineering productivity, delivery throughput, quality, security posture, and cost efficiency by building platforms, working practices and automation (including AI/LLM-enabled capabilities) that scale across geographies and time zones. How will I use AI at Roku? At Roku … while our people bring direction, judgment, and accountability. We're looking for curious, adaptable builders who can show how they've used AI or automation to move faster, raise the bar, and scale their impact. We value your AI skills if have built fluency across the agentic engineering toolchain ...

Cloud, and deliver the improvements that accelerate software delivery and operational performance. Build and maintain core platform capabilities: CI/CD pipelines, build and release automation, infrastructure automation, environment management, observability, and developer tooling. Drive standardisation and reduce engineering friction through automation and self-service. Site … Assess the current Private Cloud toolchain and operational processes, then improve and standardise CI/CD across product teams. Reduce manual deployment activity through automation, and introduce consistent engineering practices across build, test, deployment, and release. Customer Platform Support and Delivery Act as the senior engineering escalation point ...

testing function that owns quality on behalf of teams. It is aboutsetting the strategy, standards, practices,toolingand measuresthat enable every Engineering team to improve release confidence, reduce escaped defects, strengthenauditabilityand increase the capability to deliver system changes quickly and safely. Success will be measured by visible improvements in quality … outcomes and delivery flow, including reduced rework and manual regression effort, improved test coverage and release readiness, better visibility of escaped defects and quality-related incidents, and stronger evidence for audit and governance across Engineering. This role is focused on: Engineering-wide quality strategy: Defining and implementing a clear ...

Microsoft platform. Key Responsibilities Integration Design & Development Design, develop and enhance Azure integration and data solutions supporting critical business processes. Deliver new integration capabilities, automation solutions and platform improvements aligned to customer requirements. Develop and maintain data movement, transformation and orchestration processes using Azure-native services. Develop, maintain … Cyber Essentials Plus and GovAssure/CAF. Follow secure change and access-control processes appropriate to a citizen-facing public sector payments platform. DevOps, Release & Quality Management Support deployment and release activities using Azure DevOps. Contribute to CI/CD implementation and automation initiatives. Participate in code ...

needed to keep the platform reliable, observable, governed and ready for controlled production use. Its emphasis is on platform health, support processes, quality assurance, release readiness, incident response and continual service improvement. The successful candidate will work closely with Architecture, Information Security, Service Delivery, Infrastructure, suppliers and consuming business … implement actions to improve platform stability and reduce issue recurrence. Collaborate with internal teams, suppliers, and stakeholders to deliver effective operational support. Support change, release, and environment management activities across the platform estate. Maintain release readiness checklists and operational acceptance criteria. Validate platform changes prior to production deployment ...

enterprise-authorized tools within the work environment) to drive measurable improvements in delivery speed, reliability, and code quality (e.g., AI-orchestrated SDLC/TLM automation, release readiness gating, incident triage/root-cause acceleration, and large-scale refactoring/test modernization), while defining guardrails for validation, security, resiliency … reuse across teams and functions. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation at scale. Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented ...

enterprise-authorized tools within the work environment) to drive measurable improvements in delivery speed, reliability, and code quality (e.g., AI-orchestrated SDLC/TLM automation, release readiness gating, incident triage/root-cause acceleration, and large-scale refactoring/test modernization), while defining guardrails for validation, security, resiliency … reuse across teams and functions. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation at scale. Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented ...

hands-on experience with Kubernetes, containerisation, and cloud-native deployment patterns Strong CI/CD experience and a track record of building deployment and release automation Experience serving, scaling, and monitoring ML models or data-intensive services in production (MLOps) Practical experience with observability tooling (metrics, logging, tracing ...

hands-on experience with Kubernetes, containerisation, and cloud-native deployment patterns Strong CI/CD experience and a track record of building deployment and release automation Experience serving, scaling, and monitoring ML models or data-intensive services in production (MLOps) Practical experience with observability tooling (metrics, logging, tracing ...

practicesDeep hands-on experience with Kubernetes, containerisation, and cloud-native deployment patternsStrong CI/CD experience and a track record of building deployment and release automationExperience serving, scaling, and monitoring ML models or data-intensive services in production (MLOps)Practical experience with observability tooling (metrics, logging, tracing) and production ...

needed to keep the platform reliable, observable, governed and ready for controlled production use. Its emphasis is on platform health, support processes, quality assurance, release readiness, incident response and continual service improvement. The successful candidate will work closely with Architecture, Information Security, Service Delivery, Infrastructure, suppliers and consuming business … implement actions to improve platform stability and reduce issue recurrence. Collaborate with internal teams, suppliers, and stakeholders to deliver effective operational support. Support change, release, and environment management activities across the platform estate. Maintain release readiness checklists and operational acceptance criteria. Validate platform changes prior to production deployment ...

imaginable. RESPONSIBILITIESMaintain and improve existing and new codebases, ensuring high standards of quality, stability, and efficiency in collaboration with cross-functional teams. Support software release processes across multiple branches, coordinating with production and engineering teams to ensure readiness and a high standard of quality. Help identify, prioritize, and resolve … critical issues, coordinating timely fixes while maintaining overall system stability. Drive release planning, deployment, and rollback procedures. Maintain and enhance build, test, and release automation pipelines to improve development workflows and deployment reliability. Monitor platform health, performance metrics and operational KPIs post-release, helping drive issue ...

data management. Experience in full lifecycle ERP implementations with X++ and .NET technologies. Azure DevOps knowledge includes repositories, CI/CD pipelines, and release automation. Experience integrating D365 F&O with external systems using Dataverse, DMF, Power Platform, Dual Write, and web services. Strong business requirements analysis, process mapping ...

enable practical AI adoption across our cllient's product and service portfolio, creating customer facing offerings and internal capabilities that improve service quality, automation, productivity and operational efficiency. A key focus of the role will be to embed AI into existing products, services, operational capabilities and delivery practices, while … also developing specific AI product offerings, internal tooling, process automation, knowledge enablement and engineering accelerators. Suitable candidates will have experience of the folloiwng: Delivering repeatable AI architectures, delivery patterns and implementation frameworks. Defining and maturing specific AI product offerings with clear service, commercial and operational models. Embedding AI into ...

enable practical AI adoption across our cllient's product and service portfolio, creating customer facing offerings and internal capabilities that improve service quality, automation, productivity and operational efficiency. A key focus of the role will be to embed AI into existing products, services, operational capabilities and delivery practices, while … also developing specific AI product offerings, internal tooling, process automation, knowledge enablement and engineering accelerators. Suitable candidates will have experience of the folloiwng: Delivering repeatable AI architectures, delivery patterns and implementation frameworks. Defining and maturing specific AI product offerings with clear service, commercial and operational models. Embedding AI into ...

shape and enable practical AI adoption across its product and service portfolio, creating customer facing offerings and internal capabilities that improve service quality, automation, productivity and operational efficiency. A key focus of the role will be to build an AI practice responsible for governing and controlling … Defining and maturing specific AI product offerings with clear service, commercial and operational models. Embedding AI into existing services and internal operating capabilities. Improving automation, documentation, knowledge management, engineering productivity and operational efficiency. Supporting secure, governed and supportable AI adoption through modern delivery and assurance practices. Designing and delivering ...

shape and enable practical AI adoption across its product and service portfolio, creating customer facing offerings and internal capabilities that improve service quality, automation, productivity and operational efficiency. A key focus of the role will be to build an AI practice responsible for governing and controlling … Defining and maturing specific AI product offerings with clear service, commercial and operational models. Embedding AI into existing services and internal operating capabilities. Improving automation, documentation, knowledge management, engineering productivity and operational efficiency. Supporting secure, governed and supportable AI adoption through modern delivery and assurance practices. Designing and delivering ...

transformation programme. They will design, develop, and deploy a scalable Microsoft Dynamics 365 and Power Platform solutions, with a strong focus on DevOps, automation, and enterprise-grade ALM.The ideal candidate will have a deep technical expertise, hands-on development capability, and experience driving CI/CD and release … manage Azure DevOps pipelines, ensuring robust CI/CD practicesAutomate build, test, and deployment processes across multiple environmentsManage solution lifecycle including versioning, patching, and release governanceCollaborate with architects, business analysts, and stakeholders to define technical solutionsProvide technical leadership and mentoring to development teamsEnsure adherence to DevOps, ALM, and coding ...

ensure practical, robust and supportable cloud solutions. Create clear architecture documentation, decision records, design assurance packs and stakeholder-ready technical presentations. Support production readiness, release governance, disaster recovery planning, service Knowledge/Experience Essential Experience : Hands on infrastructure, cloud, platform engineering or enterprise technology experience. Hands-on AWS architecture … practices. Monitoring and operations: CloudWatch, CloudTrail, OpenSearch/ELK, Grafana, Prometheus or similar tooling. Operating systems and platform administration: Linux and Windows, scripting and automation using Shell, Python or equivalent. DevOps and CI/CD: Git-based workflows, pipeline integration, environment automation and release support. ...