Python

JPMorgan Chase & Co.•Atlanta, GA

About The Position

As a Senior Lead Software Engineer within JPMorganChase’s Consumer and Community Banking division, you will contribute to an agile team that builds and enhances secure, stable, scalable, market-leading technology products. You will use deep technical expertise and problem-solving skills to address challenges spanning multiple technologies and applications, and drive business impact through your work. The role includes providing technical direction, developing and reviewing production code, and shaping product design, application functionality, technical operations, and processes. You will promote responsible, enterprise-authorized AI-assisted engineering practices across teams, establish standards for validating AI outputs, and encourage reuse of proven patterns and automation across the software development lifecycle and toolchain. You will also act as a subject matter expert and advocate for firmwide engineering frameworks, tools, and practices.

Requirements

Formal training or certification in software engineering concepts and at least 5 years of applied experience.
Hands-on practical experience delivering system design, application development, testing, and operational stability.
Advanced proficiency in one or more programming languages or technologies, including Python, PySpark, Databricks, Agentic AI/GenAI, AWS, and LLMs.
Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools, such as for 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

Experience or knowledge of emerging technologies.

Responsibilities

Provide technical guidance and direction to support the business and its 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 across teams to improve code quality, delivery speed, and operational outcomes.
Establish measurable standards for validating AI-assisted work, including secure coding, peer review, and automated testing, and promote reuse of proven patterns and automation within the SDLC/TLM toolchain.
Use software development lifecycle toolchain capabilities, including approved AI-assisted development and automation tools, to increase the value realized from automation at scale.
Drive decisions that influence product design, application functionality, and 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 frameworks, tools, and software development lifecycle practices.

Benefits

Competitive total rewards package, including base salary.
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.

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