Software Engineer III - SRE; Java, DevOps, AWS, Azure

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.

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

• 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.

• Education and Experience:
  
  Formal training or certification in software and engineering concepts, with 3+ years of applied experience.

• System Design and Development:
  Hands‑on experience in system design, application development, testing, and ensuring operational stability.

• Hands‑on experience using enterprise‑authorized AI‑assistant 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.

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

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

• Cloud Technologies:
  Hands‑on experience with AWS and Azure cloud platforms.

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

• Database Management:
  Proficiency with SQL databases.

• Scripting:
  Experience with scripting technologies such as Shell and Python.

• API Gateways:
  Knowledge of API gateways and their configuration.

• Mobile Development:
  Experience in mobile application development.

• UI Development:
  Proficiency in UI development using Angular or React.

• Networking:
  Understanding of networking concepts.

• Software Development Life Cycle:
  Comprehensive experience across the entire SDLC.

• Infrastructure…