Software Engineer III - Java​/AWS​/Kubernetes

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III - Java/AWS at JPMorgan

Chase within the Payments Common Core Services 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. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems.
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables, including code generation/refactoring, unit test creation, and 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 through automation.
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development.
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems.
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture.

• Formal training or certification on software engineering concepts and 3+ years of applied experience.
• Hands-on practical experience in system design, application development, testing, and operational stability.
• Experience developing, debugging, and maintaining code in a large corporate environment with Java, Spring Boot, Microservices, REST API development, and one or more database querying languages.
• Hands-on experience using enterprise-authorized AI-assisted software development tools.
• Understanding of responsible AI use in engineering workflows, including the ability to guide peers.
• Experience with distributed databases and Jenkins CI/CD pipelines
• Overall knowledge of the Software Development Life Cycle.

• Exposure to AWS cloud technologies such as EC2, EKS, RDS, S3, or Lambda.
• 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.
• Kubernetes and infrastructure-as-code experience such as Kubernetes, Terraform
• Containerization experience such as Docker images/containers