Job 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 JPMorganChase within the Commercial and Investment Bank , you are 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

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

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