Software Engineer III

Design and deliver market-leading technology products in a secure and scalable way as a seasoned member of an agile team
 

As a Software Engineer III at JPMorgan Chase within the Consumer and Community Banking on the BBAO team, you will design, build, and support scalable backend services, APIs, and modern UI applications that enable seamless customer acquisition and account origination journeys. You’ll work hands-on across the full software development lifecycle, partner with cross-functional stakeholders, and apply strong engineering practices (testing, CI/CD, observability, and secure development) to deliver resilient, high-quality solutions. You’ll also have opportunities to contribute to AI-enabled capabilities and agent-driven tools that improve customer and employee experiences.

Job Responsibilities:
 

• Design, develop, and maintain full stack solutions, including Java/Spring Boot backend services, RESTful microservices, and modern UI applications using React or Angular.

• Build secure, high-performing APIs, integrations, and user interfaces; contribute to service reliability, resiliency, and performance tuning.

• Collaborate daily with Product, Design, and Data & Analytics to refine requirements, estimate work, and deliver iteratively using Agile practices.

• Write clean, maintainable code with strong unit/integration test coverage; participate in code reviews and design discussions.

• Support and improve CI/CD pipelines and engineering automation; champion best practices in quality and developer productivity.

• Contribute to production support: troubleshooting, incident triage, root-cause analysis, and preventative improvements.

• Participate in application, data, and infrastructure architecture conversations and help evolve platform standards.

• Leverage 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; contribute learnings and reusable patterns to improve broader team effectiveness.

• Apply 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, skills, and capabilities:

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

• Proficiency in Java and Spring Boot, including building and operating REST APIs and microservices; strong Java 8 (lambdas/streams) + React/Angular full-stack development experience

• Experience with modern Agile delivery practices (Scrum/Kanban), CI/CD, and DevOps-aligned development (automated quality gates, release pipelines)

• Experience with cloud and/or container platforms (e.g., AWS or Cloud Foundry, Docker/Kubernetes)

• Working experience with databases: Oracle and/or NoSQL datastores such as Cassandra or MongoDB (data modeling, query performance, reliability)

• Experience developing Kafka producers/consumers in Java

• NoSQL experience: Cassandra / DynamoDB / Elastic Search

• Strong quality mindset (TDD, automation) and ability to lead design/code reviews and mentor engineers

• 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, skills, and capabilities:

• Cross-team delivery leadership, PCI exposure, AWS cert

• AI/LLM experience (integrations, agentic workflows, RAG/tool-calling, tool/function calling, responsible AI fundamentals/basics) a plus