JPMorgan Chase—Lead Software Engineer - Java, AWS, kdb+

Job description

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