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JPMorgan Chase & Co.

Lead Software Engineer - Java, AWS, kdb+

JPMorgan Chase & Co. · Bengaluru, Karnataka, India

Financial Services · 10,001+ employees

6 h ago
Senior (5-10 yrs) Full-time India
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About the role

You will lead the development and delivery of a multi-asset reconciliations platform while driving the adoption of AI-assisted engineering practices. The role involves managing the full software development lifecycle, including design, implementation, deployment, and L3 production support.

What they look for

Java AWS Kdb+ Linux Shell Scripting Terraform Ansible CI/CD Git Jira Confluence FIX Protocol Software Development Lifecycle Cloud Infrastructure AI-assisted Engineering

Requirements

Candidates must have 5+ years of applied software engineering experience with strong proficiency in Java and public cloud environments. A solid understanding of Linux, CI/CD pipelines, and infrastructure automation tools is required, with knowledge of KDB/q considered a plus.

Full description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank's Reconciliation technology team, you'll be an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will be part of the best-in-class Reconciliations platform team and will work with a highly inspired and inquisitive team of technologists who are developing and deploying applications to the highest standards. The team is responsible for providing a multi-asset Reconciliations platform that will cover cash, swaps, listed options and futures across Front, Middle and Back Offices.

Job responsibilities

  • 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

Required qualifications, capabilities, and skills

  • 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)

Preferred qualifications, capabilities, and skills

  • 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