Software Engineer III - Java Developer + Python + AI + Elastic search
JPMorgan Chase · Posted Oct 29
Global banking, investment, credit card, mortgage, and asset management services
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About the role
The Commercial & Investment Bank at JPMorgan Chase is seeking a Software Engineer III to join an agile team building secure, stable, and scalable technology products. The role involves designing and delivering critical technology solutions across multiple technical areas and business functions, using Java, Spring Boot, Python, AI-assisted development, and Elasticsearch. The engineer will also build AI agents and scalable microservices/APIs that integrate with engineering workflows.
What you will do
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Develops secure high-quality production code (primarily Java / Spring Boot), and reviews and debugs code written by others
- Leads the design and delivery of scalable microservices/APIs within the Spring ecosystem (e.g., Spring MVC/WebFlux, Spring Data, Spring Security), with strong testing practices
- Proactively improves engineering productivity using AI4Tech practices, including hands-on use of Copilot/Claude Code for refactoring, test generation, documentation, and code modernization—while ensuring correctness and secure coding standards
- Builds and operationalizes AI agents that integrate with engineering workflows (e.g., PR review assistants, runbook/support agents, remediation assistants), including tool/function calling, structured outputs, and safety/guardrails
- Uses Python as needed for AI/agent prototyping, automation, evaluation harnesses, or glue code/integrations
- 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.
Skills used in this role
What the employer is looking for
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Advanced Java development experience with strong fundamentals (OO design, concurrency, performance, debugging)
- Strong hands-on experience with Spring Boot and related frameworks (REST APIs, security, persistence), Elastic search, plus unit/integration testing.
- AI4Tech hands-on experience using Copilot/Claude Code (or similar approved tools) to accelerate delivery while maintaining code quality, security, and test coverage
- Experience building AI agents / LLM-enabled workflows, including prompt discipline, grounding/verification strategies, and safe handling of sensitive data
- Some experience or working knowledge of Python (scripting, automation, or AI/agent prototyping)
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Practical experience on Kubernetes
- 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
- Experience designing and operating production-grade agentic systems (observability, evals, prompt/versioning, fallbacks, rate limits, and guardrails)
- Experience with modern microservice patterns (resiliency, distributed tracing, event-driven design)
Benefits and support
- Compensation and benefits are detailed in the job posting
About JPMorgan Chase
JPMorgan Chase & Co. is one of the oldest, largest, and most diversified financial services institutions in the world. Operating globally through the J.P. Morgan and Chase brands, the firm provides a comprehensive range of financial solutions including investment banking, consumer and commercial banking, transaction processing, and asset management. Serving millions of consumers and many of the world's most prominent corporate, institutional, and government clients, the company combines deep market expertise with extensive technological investments.
- Industry
- Banking
- Company size
- 320000+ employees
- Founded
- 1799
- Location
- New York, New York, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Chief Financial Officer
Chief Operating Officer
Global Chief Information Officer
CEO, Asset & Wealth Management
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