Software Engineer III

Software Engineer III – Public Cloud

Location: Bournemouth, UK

Job Family: 602 – Software Engineer III

As a Software Engineer III at JPMorgan Chase within our Public Cloud team, you serve as a seasoned member of an agile team to design and deliver trusted market‑leading technology products in a secure, stable, and scalable way. Joining our Public Cloud team in Bournemouth , you will be responsible for carrying out critical cloud‑native technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job Responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Creates secure and high‑quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex cloud‑native applications while being accountable for ensuring design constraints are met by software code development
• Designs, builds, and operates resilient, scalable services deployed to AWS in line with firm‑wide public cloud standards
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging cloud technologies
• Leverages 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 broader team effectiveness.
• 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.

Required Qualifications, Capabilities, and Skills

• Formal training or certification on software engineering concepts
• Hands‑on practical experience in system design, application development, testing, and operational stability
• Proficient in coding in one or more modern programming languages
• Hands‑on AWS development experience—building, deploying, and operating production workloads using core AWS services
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages
• Overall knowledge 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) to improve engineering productivity, code quality, and knowledge acquisition
• Hands‑on experience using enterprise‑authorized AI‑assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI‑generated outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.

Preferred Qualifications, Capabilities, and Skills

• Experience developing services in Go (Golang)
• Practical experience with Kubernetes—deploying, operating, and troubleshooting containerized workloads (EKS preferred)
• Experience with Infrastructure-as-Code tooling (Terraform, CloudFormation, CDK)
• Familiarity with observability tooling (Prometheus, Grafana, Datadog)
• AWS certifications (Developer Associate, Solutions Architect, or higher)

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