JPMorgan Chase Bank
Software Engineer III - Java Developer + Python + AI + Elastic search
Builds and delivers Java/Spring Boot microservices, REST APIs, and Elasticsearch-backed features for JPMorgan Chase's Commercial & Investment Bank in Mumbai, using Python for AI prototyping, Kubernetes for operations, and AI coding tools (Copilot/Claude Code) plus AI agents/LLM workflows to boost engineering productivity.
- Compensation
- Not disclosed
- Location
- Mumbai
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 3+ years
- Category
- Software engineering
- Posted
Skills
Must have
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Hands-on experience delivering system design, application development, testing, and operational stability
- Advanced Java development with strong fundamentals (OO design, concurrency, performance, debugging)
- Strong hands-on experience with Spring Boot and related frameworks (REST APIs, security, persistence)
- Hands-on experience with Elasticsearch plus unit/integration testing
- AI4Tech hands-on experience using Copilot/Claude Code (or similar approved tools)
- Experience building AI agents / LLM-enabled workflows, including prompt discipline, grounding/verification, and safe handling of sensitive data
- 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 with enterprise-authorized AI-assisted development tools, with ability to validate and refine AI-generated outputs
- Understanding of responsible AI use in engineering workflows, including data sensitivity and secure handling of inputs/outputs
Nice to have
- Experience designing and operating production-grade agentic systems (observability, evals, prompt/versioning, fallbacks, rate limits, guardrails)
- Experience with modern microservice patterns (resiliency, distributed tracing, event-driven design)
Full description
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 Developer + Python + AI + Elastic search at JPMorgan Chase within the Commercial & Investment Bank, youll 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
- 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.
Required qualifications, capabilities, and skills
- 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)