Senior Lead Software Engineering - C++ low latency

JPMorgan Chase & Co.; Chicago (IL); On-site; USD 150,000 - 210,000; Full time

Job summary

JPMorgan Chase & Co. in Chicago seeks a Senior Lead Software Engineer to join the Commercial & Investment Bank - eTrading team. You will be part of an agile group delivering scalable, secure technology products that empower trading and risk workflows.

The role emphasizes hands-on design and coding in C/C++, guiding teams, and applying AI-assisted development practices to improve quality and delivery speed. A strong background in cloud-native, secure coding and 10+ years in software engineering

Qualifications

• Formal training or 10+ years in software engineering.
• Experience delivering system design, app development, testing, and stability.
• Advanced knowledge of C and C++.
• Experience with AI-assisted development tools and governance.
• Strong secure coding practices and risk awareness.

Responsibilities

• Provides technical guidance to business teams, contractors, and vendors.
• Develops secure, high-quality production code and reviews others' work.
• Drives decisions shaping design, functionality, and operations.
• Acts as a function-wide expert in focus areas of the SDLC.
• Promotes AI-assisted engineering practices and tooling adoption.
• Influences stakeholders to adopt leading technologies.

Skills

C/C++

AI-assisted tools

Cloud native

Security awareness

Leadership

Education

BS in Computer Science or related field

Tools

AI-assisted development tools

SDLC toolchain

Job description

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 - eTrading 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. 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

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• 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 frameworks, tools, and practices of the Software Development Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• 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.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering* concepts and 10+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced knowledge and demonstrated skills in in programming languages C and C++
• 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 to no oversight
• Practical cloud native experience
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field

Preferred qualifications, capabilities, and skills

• Hands on experience working within Financial Services Industry