Software Engineer III - Java, Spring Boot, DevOps, AWS

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Software Engineer III at JPMorgan Chase, 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.

Job responsibilities:

• Design and Build Infrastructure Components: Design and build robust infrastructure components to support our technology solutions.

• 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.

• Build Application Components: Develop application components using Java, ensuring high-quality and secure code.

• Write Secure Code: Write secure, high-quality code with minimal guidance, considering the impact on upstream and downstream systems.

• Design, Develop, and Troubleshoot: Design, develop, code, and troubleshoot with consideration of upstream and downstream systems and technical implications.

• Designing and implementing infrastructure and application components on Azure and AwS.

• Support Deployments and Configuration: Support deployments and configuration management to ensure smooth operations.

• Data Analysis: Gather, analyze, and draw conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development.

• Learn and Apply System Processes: Learn and apply system processes, methodologies, and skills for the development of secure, stable code and systems.

Required qualifications, capabilities, and skills:

• Formal training or certification on software engineering concepts and 3+ years applied experience

• Hands-on experience in system design, application development, testing, and ensuring operational stability.

• 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.

• Experience in developing, debugging, and maintaining code in a corporate environment using modern programming and database querying languages.

• Proficiency in Java, Spring Boot, and API development.

• Hands-on experience with AWS and Azure cloud platforms.

• Experience with Kubernetes for automating deployments, scaling, and management.

• Proficiency with SQL databases.

• Experience with scripting technologies such as Shell and Python.

• Knowledge of API gateways and their configuration.

Preferred qualifications, capabilities, and skills:

• Proficiency in UI development using Angular or React.

• Understanding of networking concepts.

• Comprehensive experience across the entire SDLC.

• Experience with Terraform for automating infrastructure tasks.