Lead Software Engineer - Markets, C++, low latency

• Regularly provides technical guidance and direction to support the business

• Formal training or certification on software engineering* concepts and 7+

• Hands on experience working within Financial Services Industry

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility.

These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

• Develops secure and high-quality production code, and reviews and debugs code

• Drives decisions that influence the product design, application

• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide

• Influences peers and project decision-makers to consider the use and

• Adds to the team culture of diversity, opportunity, inclusion, and respect
• 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.

• Hands-on practical experience delivering system design, application

• Advanced knowledge and demonstrated skills in in programming languages C and

• 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.

• Advanced knowledge of software applications and technical processes with

considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

• Ability to tackle design and functionality problems independently with little

• Practical cloud native experience
• Experience in Computer Science, Computer Engineering, Mathematics, or a

related technical field