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hackajob is partnering with JPMorganChase to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Senior Lead Software Engineer at JPMorganChase within the Commercial & 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job responsibilities
Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experience
Experience in hands-on development experience in technology project/program in a front-office capacity. Formal training or certification Computer Science, Mathematics, or a related technical discipline
Proven experience managing programs requiring collaboration across various teams, stakeholders, and global regions
Demonstrated expertise in delivery and execution of regulatory programs with strict timelines
Strong experience tracking risk and dependencies, managing decision logs, monitoring issues, and investing time in retrospectives
Advanced knowledge of trade lifecycle processes including clearing, compressions, book creations, and industry initiatives
Experience creating UAT test plans, managing test cycles, and creating run books for major deliverables
Ability to tackle design and functionality problems independently with little to no oversight
Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls.
Preferred qualifications, capabilities
Credit Derivatives subject matter expertise or equivalent expertise in another complex asset class
Hands-on experience with Python-based platforms or quantitative technology environments
Experience with cross-asset risk, pricing, or trade management platforms (e.g., Athena or similar)
Curiosity to deepen understanding of Credit business products and electronic/algorithmic trading workflows
hackajob is partnering with JPMorganChase to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.