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Lead Software Engineer - Java/Python, AWS

JPMorgan Chase
Hyderabad, IND
Full-time
Senior · 8+ years experience
Onsite
Discovered Today
JavaPythonGolangPostgreSQLDynamoDBMongoDB

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Job responsibilities

  • Provide technical guidance and direction to support the business and its technical teams, contractors, and vendors
  • Develop secure and high-quality production code, and review and debug code written by others
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • 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.
  • Drive decisions that influence product design, application functionality, and technical operations and processes
  • Serve as a function-wide subject matter expert in one or more areas of focus
  • Contribute to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle

Required qualifications, capabilities and skills

  • Formal training or certification on software engineering concepts and 8+ years applied experience
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Advanced skills in one or more programming languages (Java, Python, Golang)
  • Advanced knowledge on building AI agents and hands-on experience with one or more Agentic AI frameworks including tool calling, memory, guardrails, and policy enforcement
  • Understanding of Model Context Protocol (MCP) concepts and ecosystem
  • Strong knowledge on relational and NoSQL databases (PostgreSQL, DynamoDB, MongoDB)
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
  • Ability to tackle design and functionality problems independently with little to no oversight
  • Practical cloud native experience on AWS with experience in developing highly resilient, low-latency web services architecture

Preferred qualifications, capabilities and skills

  • Well versed with MCP specification and ecosystem
  • Proficiency with ElasticSearch / Opensearch
  • Agentic controls involving Sandboxing, Identity, and security

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