16 of 16 CI/CD Jobs in Bournemouth

business stakeholders to deliver payment initiation capabilities aligned to business objectives and risk expectations.Champions engineering excellence through code quality, automated testing, CI / CD, observability, performance engineering, chaos / resilience testing, and secure software development practices.Leads communities of practice across Software Engineering to drive … platforms, preferably Apache Kafka, including topics, partitions, consumer groups, offsets, ordering, retries, dead-letter handling, idempotency, and failure recovery patterns.Experience with relational databases and / or distributed data stores, including SQL and NoSQL databases, data modeling, query optimization, transaction handling, consistency patterns, replication, and high-availability design.Strong understanding ...

analytics workloads on the Databricks Lakehouse platform. You’ll partner with data analysts, data scientists, and application teams to deliver trusted datasets, performant ETL / ELT pipelines, and well-governed data products.Job responsibilitiesDesign and implement batch and streaming data pipelines using Databricks (Spark), Delta Lake, and orchestrators (e.g., Workflows … Airflow, ADF).Develop and optimize Spark jobs (PySpark / Scala) and SQL transformations for performance, reliability, and cost efficiency.Build and maintain curated data models (bronze / silver / gold), data quality checks, and automated testing.Implement CI / CD for notebooks and code ...

DevOps, or related fields.Strong hands-on experience with cloud platforms such as AWS, Azure, or GCP.Solid understanding of agile practices, including CI / CD, application resiliency, and security.Proficient in at least one programming language (e.g., Python, Java / Spring Boot, .NET).Experience with infrastructure … code tools (Terraform, CloudFormation, etc.).Strong knowledge of Linux / Unix systems.Experience with observability and monitoring tools (e.g., Grafana, Dynatrace, Prometheus, Datadog, Splunk).Familiarity with CI / CD tools (e.g., Jenkins, GitLab) and container orchestration (e.g., Docker, Kubernetes, ECS).Understanding of networking fundamentals ...

impacts, and proactively resolve bottlenecks.Drive automation and efficiency by applying advanced knowledge of the Software Development Life Cycle (SDLC) toolchain, including CI / CD pipelines and infrastructure as code (IaC) using Terraform.Develop, review, and debug code across the stack (front-end, back-end, and cloud … 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 ...

goals.Optimize applications for performance, scalability, and security.Participate in code reviews and provide constructive feedback to peers.Stay up to date with emerging Cloud and AI / ML technologies and industry trends to drive innovation and continuous improvementLead communities of practice across Software Engineering to promote awareness and adoption … 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 … respectRequired qualifications, capabilities, and skillsHands-on experience in software developmentDemonstrated ability to leverage AI as a code assistantAdvanced knowledge and experience with C# / .NetAdvanced knowledge and experience developing multi-threaded applicationsDemonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test ...

operational stability of software applications and systemsParticipate in code reviews and provide constructive feedback to peers.Stay up to date with emerging Cloud and AI / ML technologies and industry trends to drive innovation and continuous improvementLead communities of practice across Software Engineering to promote awareness and adoption … training or certification on software engineering concepts and applied experienceExperienced in cloud development (AWS), with a focus on application design and development.Experience with AI / ML model integration, Prompt engineering, LLM APIs (OpenAI, Bedrock) and Generative AIProficiency in programming languages such as Java, Python, or Node.js.Strong experience with cloud ...

operational stability of software applications and systemsParticipate in code reviews and provide constructive feedback to peers.Stay up to date with emerging Cloud and AI / ML technologies and industry trends to drive innovation and continuous improvementLead communities of practice across Software Engineering to promote awareness and adoption … 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 ...

recoveryDrive the adoption and optimization of MongoDB (including change streams), Kubernetes, and other modern platformsSet and enforce standards for API design and development (REST / gRPC), including best practices for versioning, documentation, and error handling to ensure robust, secure, and scalable interfacesGuide the integration and management of service registries … 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 ...

need engineers like you to help us do it reliably, securely, and at scale. As a Software Engineer III at JPMorganChase within the AI / ML Data Platforms organization, you will be a key member of the Reliability Engineering team, contributing to the design and delivery of trusted, market … leading technology products. You will apply your technical expertise and problem-solving skills to enhance the reliability and scalability of AI / ML platforms, build reusable services and tooling, and partner across teams to unblock high-impact AI use cases. This is an opportunity to shape how the firm ...

Ensure cloud environments adhere to security, compliance and operational best practices. Identify opportunities to improve platform performance, reliability, scalability and developer experience. Essential Skills / Experience Strong hands-on experience with Google Cloud Platform (GCP). Proven experience designing, implementing and managing platform provisioning solutions within GCP environments. Strong … Code). Strong Python scripting and automation experience. Experience with Git and modern DevOps practices. Experience implementing automated infrastructure deployment and CI / CD pipelines. Experience using GitHub Co-Pilot and Claude Code to optimise DevOps and software development workflows. Strong ability to work within ...

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 … system design, application development, testing, and operational stabilityProficient in coding in one or more languagesExperience or equivalent expertise at troubleshooting, resolving, and maintaining Cucumber / Gherkin, Java, Selenium or a similar tool is required. Functional knowledge of Payments domain and experienced in testing processes in order to define requirements ...

inclusion, and respectLeverages 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 … 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 ...

appropriate systems Leverage 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 Apply knowledge of tools within the Software … Python, with knowledge of XML libraries Strong understanding of MQ middleware and its appropriate use within enterprise messaging environments Strong understanding of PL / SQL and its appropriate use in data-driven application development Solid UNIX knowledge and shell scripting capability Overall knowledge of the Software Development Life Cycle ...