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Lead Software Engineer - Java, AWS, kdb+

JPMorgan Chase
Bengaluru, IND
Full-time
Lead · 5+ years experience
Onsite
Discovered 3 weeks ago

Full Job Posting

  • Work across entire software development lifecycle: requirements gathering, design, implementation, testing, deployment and handover to support teams.
  • Join the cloud adoption journey.
  • 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.
  • Manage requirements, specifications, and design documents
  • Handle release and stakeholder management
  • Involve in L3 support for Production environments
  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Strong analytical development skills, solid understanding of computer science fundamentals. Strong development experience in Java and public cloud offering
  • Comfortable working with Linux based environments and having good knowledge of Unix/Linux commands and shell scripting
  • A strong passion for infrastructure as code and associated automation and provisioning tools like Terraform, Ansible etc.
  • 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
  • Good understanding of CI/CD pipeline build, improvement and management
  • Experience with GIT, Jira, Confluence, Wiki. Excellent verbal & written communication skills
  • Experience working in a team with a strong software development process (build, test, deploy)
  • Knowledge of KDB/q is a plus.
  • Preferred experience in Cloud Infrastructure and related technologies
  • Good understanding of FIX and other financial messaging protocols is preferred

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