Software Engineer III - Java Developer + Python + AI + Elastic search

JPMorganChase; Maharashtra; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

JPMorgan Chase in India seeks a Software Engineer III to design, develop, and deliver secure, scalable software solutions using Java/Spring Boot and Python where needed. You will work with AI-enabled tooling to enhance productivity and build AI agents that integrate with engineering workflows.

The role requires strong Java fundamentals, Spring ecosystem experience, and familiarity with CI/CD, security, and Kubernetes in a fast-paced agile environment.

Qualifications

• Formal training or certification in software engineering with 3+ years of applied experience.
• Hands-on experience delivering design, development, testing, and production stability.
• Strong Java/Spring Boot, REST APIs, security, and persistence fundamentals.
• Experience building AI-enabled workflows and using AI tools to accelerate delivery while preserving quality.
• Familiarity with CI/CD, security best practices, and scalable microservices architecture.

Responsibilities

• Execute software solutions with design, development, and debugging.
• Develop secure production code (Java/Spring Boot) and review others' work.
• Lead design and delivery of scalable microservices/APIs within Spring ecosystem.
• Apply AI4Tech practices to improve productivity and code quality, with safe handling of data.

Skills

Java Development

Spring Boot

Agile methodologies

CI/CD

Security

Concurrency

Debugging

AI-assisted development

Kubernetes

Code review

Education

Formal software engineering training

Tools

Elastic search

Copilot/Claude Code

Kubernetes

Spring ecosystem tooling

Job 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, you'll 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)
• 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…