You're ready to gain the skills and experience needed to grow within your role and advance your career - and we have the perfect senior engineering leadership opportunity for you.

As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank's Digital Markets Execution Technology team, you will be pivotal in the creation, design, and execution of sophisticated, latency-sensitive components for the Markets Execute platform. You will lead a cross-functional Java and React engineering team, partner with Product, Delivery, Sales, and Trading, and own the platform's long-term technical vision, reliability, and scalability.

Job responsibilities

Executes and oversees end-to-end software solutions, engineering standards, architecture, and technical troubleshooting for mission-critical trading systems.
Writes secure, high-quality, and testable code in Java collaborates on React APIs and backward-compatible rollout strategies.
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.
Designs and builds high-performance, latency-sensitive services with awareness of upstream/downstream systems and cross-asset use cases.
Applies SDLC toolchain knowledge to improve automation, CI/CD, release governance, and operational readiness.
Leads technical analysis of client requirements, estimation and planning, code reviews, architecture design sessions, and retrospectives.
Establishes reliability goals implements robust observability and resilience patterns reduces MTTR and change failure rate.
Leads incident response and post-incident reviews elevates production stability, performance, and cost-effectiveness.
Upholds secure-by-default practices (authN/authZ, secrets, dependency hygiene) and risk/control standards.
Guides platform integration contracts, versioning strategies, and deprecation paths manages dependencies and de-risks releases.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience
Hands-on experience in system design, application development, testing, and operational stability for mission-critical platforms.
Proven leadership of engineering teams and partnership with Product, Delivery/Program, and business stakeholders.
Expertise developing, debugging, and maintaining Java applications in large environments strong API design.
Deep understanding of Java 17+ fundamentals, concurrency, memory management, and object-oriented design.
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 across the full Software Development Life Cycle exposure to Agile methodologies, CI/CD, resiliency, and security.
Proficiency with Spring/Spring Boot, microservices, Kubernetes, Linux, and networking/messaging concepts.
Strong focus on automated testing experience with TDD/BDD, unit testing, and modern CI/CD practices.
Effective communication with technical and non-technical audiences ability to operate in globally distributed teams.

Preferred qualifications, capabilities, and skills

Familiarity with modern front-end technologies experience collaborating with React teams.
Exposure to messaging systems and market protocols (e.g., MQ/Kafka familiarity with FIX and Solace).
Experience with observability stacks and resilience engineering for low-latency trading platforms.
Familiarity with Python awareness of investment banking, fintech, or financial markets

Lead Software Engineer - Java, Spring, Kubernetes, Linux