Senior Lead Software Engineer

JPMorgan Chase & Co. • Jersey City, NJ

1d • $156,750 - $215,000

About The Position

As a Senior Lead Software Engineer at JPMorganChase within the Commercial and Investment Bank Payments Technology team, you will contribute to an agile team that builds, enhances, and delivers secure, stable, scalable, and trusted technology products. You will provide technical direction, develop and review production code, influence product and technical decisions, and serve as a subject matter expert. A key focus is enabling responsible, secure, and measurable adoption of approved AI-assisted engineering practices and automation across the software development lifecycle.

Requirements

• Formal training or certification in software engineering concepts and at least 5 years of applied experience.
• Experience delivering secure, production-quality code in Python or Java.
• Strong foundations in distributed systems, microservices, and platform architecture and design principles.
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools for tasks such as coding, code review, test acceleration, and troubleshooting.
• 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, secure handling of inputs and outputs, and resiliency and security expectations.
• Experience coaching senior engineers or leads on compliant AI usage patterns and controls.
• Ability to independently address design and functionality problems with little to no oversight.
• Practical cloud-native experience.

Nice To Haves

• Understanding of statistical model concepts, such as regressions and XGBoost, and their applications.
• Understanding of core GenAI concepts and their application to reliability settings.
• Understanding of agentic systems and how they can solve reliability problems in SRE environments.
• Familiarity with common ML tools and frameworks such as Python, Spark, and Airflow, and with cloud platforms.
• Understanding of cloud platforms, preferably AWS, and relevant certifications.

Responsibilities

• Provide technical guidance and direction to support the business and technical teams, contractors, and vendors.
• Develop secure, high-quality production code and review and debug code written by others.
• Drive adoption and governance of approved AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
• Establish measurable validation standards for AI-assisted work, including secure coding, peer review, and automated testing.
• Promote reuse of proven patterns and automation within the SDLC/TLM toolchain.
• Apply knowledge of software development lifecycle tools, including approved AI-assisted development and automation capabilities, to improve automation value at scale.
• Drive decisions that influence product design, application functionality, technical operations, and processes.
• Serve as a function-wide subject matter expert in one or more areas of focus.
• Contribute to the engineering community by advocating firmwide SDLC frameworks, tools, and practices.

Benefits

• Competitive total rewards package, with base salary determined by role, experience, skill set, and location.
• Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed