9 of 9 Release Automation Jobs in Scotland

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 ...

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 ...

Linux. Participate in architecture discussions, code reviews, and quality initiatives. Investigate and resolve platform‐specific performance and reliability issues. Contribute to build systems, automation, and release processes. Required Qualifications 5–10 years of professional software development experience. Strong knowledge of modern C++ and software engineering best practices. Experience ...