26 to 50 of 60 CI/CD Jobs in Bournemouth

enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review / refactoring, test strategy acceleration, incident / root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting … fundamentals and cloud-native operational patterns, including scalability, reliability, observability, and dependency management.Hands-on experience with Go-based services and modern CI / CD practices.Experience operating workloads on AWS and Kubernetes or EKS in a production environment.Practical experience with infrastructure as code using Terraform ...

enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review / refactoring, test strategy acceleration, incident / root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting … cloud-native operational patterns, including scalability, reliability, observability, and dependency management. Hands-on experience with Go-based services and modern CI / CD practices. Experience operating workloads on AWS and Kubernetes or EKS in a production environment. Practical experience with infrastructure as code using Terraform ...

impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer-Java / Spring Boot at JPMorgan Chase within Commercial and Investment Banking's Post-Trade Technology team, you are an integral part of an agile team that … enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review / refactoring, test strategy acceleration, incident / root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting ...

enterprise‐authorized AI‐assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI‐assisted code review / refactoring, test strategy acceleration, incident / root‐cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting … cloud‐native operational patterns, including scalability, reliability, observability, and dependency management. Hands‐on experience with Go‐based services and modern CI / CD practices. Experience operating workloads on AWS and Kubernetes or EKS in a production environment. Practical experience with infrastructure as code using Terraform ...

enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review / refactoring, test strategy acceleration, incident / root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting … validating AI outputs for correctness, performance, and securityStrong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs / outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practicesProficient in all aspects of the Software ...

enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review / refactoring, test strategy acceleration, incident / root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting … validating AI outputs for correctness, performance, and security.Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs / outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practicesProficient in all aspects of the Software ...

enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review / refactoring, test strategy acceleration, incident / root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting … outputs for correctness, performance, and security Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs / outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices Proficient in all aspects of the Software ...

enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review / refactoring, test strategy acceleration, incident / root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting … outputs for correctness, performance, and security Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs / outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices Proficient in all aspects of the Software ...

enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review / refactoring, test strategy acceleration, incident / root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting … outputs for correctness, performance, and security. Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs / outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices Proficient in all aspects of the Software ...

enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review / refactoring, test strategy acceleration, incident / root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting … outputs for correctness, performance, and security. Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs / outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices Proficient in all aspects of the Software ...

code quality issuesLeverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation / refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.Applies knowledge of tools within the Software Development … ability to critically evaluate and validate AI-generated outputs.Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs / outputs, and adherence to resiliency and security expectationsUnderstanding of software skills such as business analysis, development, maintenance, and software improvementProficiency in developmental toolsetsBasic knowledge ...

quality issues Leverages enterprise‐authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation / refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards. Applies knowledge of tools within the Software … critically evaluate and validate AI‐generated outputs. Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs / outputs, and adherence to resiliency and security expectations Understanding of software skills such as business analysis, development, maintenance, and software improvement Proficiency in developmental toolsets ...

Drives team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review / refactoring, test strategy acceleration, incident and root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse … operational stability Proficient in all aspects of the Software Development Life Cycle, with an advanced understanding of agile methodologies such as CI / CD, Application Resiliency, and Security Working knowledge of SDLC toolchains and proven experience applying enterprise-authorized AI-assisted development and automation capabilities ...

quality issues Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation / refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards. Applies knowledge of tools within the Software … critically evaluate and validate AI-generated outputs. Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs / outputs, and adherence to resiliency and security expectations Understanding of software skills such as business analysis, development, maintenance, and software improvement Proficiency in developmental toolsets ...

stable application developmentLeverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation / refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.Applies knowledge of tools within the Software Development … more modern programming languages and database querying languagesKnowledge of distributed technologies such as Kafka for messaging and NoSQL databases such as Cassandra / MongoDBAbility to collaborate with high-performing teams and individuals throughout the firm to accomplish common goalsExperience across the whole Software Development Life CycleHands-on experience using ...

enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation / refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve … environment with one or more modern programming languagesOverall knowledge of the Software Development Life CycleSolid understanding of agile methodologies such as CI / CD, Application Resiliency, and SecurityPractical experience using AI-assisted developer tools and AI agents (e.g., Copilot, Claude Code, or equivalent) to improve ...

enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation / refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve … with one or more modern programming languages Overallknowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI / CD, Application Resiliency, and Security Practical experience using AI-assisted developer tools and AI agents (e.g., Copilot, Claude Code, or equivalent ...

application development Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation / refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards. Applies knowledge of tools within the Software … more modern programming languages and database querying languages Knowledge of distributed technologies such as Kafka for messaging and NoSQL databases such as Cassandra / MongoDB Ability to collaborate with high-performing teams and individuals throughout the firm to accomplish common goals Experience across the whole Software Development Life Cycle ...

code and systems.Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation / refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.Applies knowledge of tools within the Software Development … code in one or more languages (Python)Experience across the whole Software Development Life CycleExposure to agile methodologies such as CI / CD, Application Resiliency, and SecurityEmerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile ...

systems. Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation / refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards. Applies knowledge of tools within the Software Development … code in one or more languages (Python) Experience across the whole Software Development Life Cycle Exposure to agile methodologies such as CI / CD, Application Resiliency, and Security Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine ...

systems. Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation / refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards. Applies knowledge of tools within the Software Development … code in one or more languages (Python) Experience across the whole Software Development Life Cycle Exposure to agile methodologies such as CI / CD, Application Resiliency, and Security Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine ...

respect Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation / refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards. Applies knowledge of tools within the Software Development … code in one or more languages Experience across the whole Software Development Life Cycle Exposure to agile methodologies such as CI / CD, Application Resiliency, and Security Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning ...

basic complexityLeverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation / refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.Applies knowledge of tools within the Software Development Life … languagesDemonstrable ability to code in one or more languagesExperience across the whole Software Development Life CycleExposure to agile methodologies such as CI / CD, Application Resiliency, and SecurityEmerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning ...

enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation / refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve … more languages (Java, Django, SQL) Experience across the whole Software Development Life CycleExposure to agile methodologies such as CI / CD, Application Resiliency, and SecurityHands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting ...

enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation / refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve … more languages (Java, Django, SQL) Experience across the whole Software Development Life Cycle Exposure to agile methodologies such as CI / CD, Application Resiliency, and Security Hands‐on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test ...