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 & Investment Bank's Digital Markets Execution Technology team, 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. You will execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role. You must be a passionate and well-rounded technologist with demonstrated leadership, committed to continuous learning and improvement. 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
- Lead and grow a cross-functional engineering team (Java backend and React frontend); drive delivery predictability and quality.
- Partner with Product and Delivery to shape roadmaps, prioritize work, manage dependencies, and de-risk releases.
- Own the platform’s long-term technical vision and architectural runway; set guardrails, integration contracts, versioning, and deprecation paths.
- Establish and meet reliability goals; implement observability and resilience patterns.
- 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.
- Lead incident response and post-incident reviews; reduce MTTR, lower change failure rate, and elevate production readiness.
- Maintain secure-by-default practices (authentication/authorization, secrets management, dependency hygiene) and uphold risk and controls.
- Remain hands-on: architect and implement high-performance Java services; perform profiling/tuning; collaborate with React developers on API design and backward-compatible rollout strategies.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Excellent understanding of Java 17+ fundamentals, concurrency, memory management, and object-oriented programming paradigms with hands-on experience with Spring and server-side frameworks (e.g., Spring Boot) and strong API design skills.
- Experience building high-performance, latency-sensitive Java applications.
- Proven partnership with Product, Delivery/Program, and business stakeholders; converting business requirements into technical roadmaps, OKRs, and measurable deliverables.
- 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
- Experience owning the evolution and stability of mission-critical platforms: architectural modernization, operability, performance, and cost-effectiveness.
- Clear understanding of messaging technologies and computer networks; familiarity with FIX and Solace.
- Experience maintaining and troubleshooting software in Linux environments, along with experience in microservices deployment topologies on Kubernetes.
- Test-driven development using modern source control and continuous integration; strong CI/CD and release governance.
- Experience working with globally distributed engineers; strong communication with technical and non-technical audiences.
Preferred qualifications, capabilities, and skills
- Demonstrated experience leading an engineering team; mentoring, coaching, and fostering an inclusive, high-performing culture.
- Familiarity with Python and React.
- Familiarity with investment banking, fintech, financial markets or CIB Markets.
- Experience as senior techno manager