Sr Lead Software Engineer - Python

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorgan Chase & Co. seeks a Senior Lead Software Engineer within Corporate Technology to advance trusted market-leading technology products. You will work in an agile team to enhance, build, and deliver secure, scalable software while driving AI-assisted engineering and automated testing practices.

You will lead design decisions, ensure production-grade quality, and collaborate across teams to improve operations and code quality, with a focus on secure handling of data and responsible AI usage.

Qualifications

• Formal training or certification in software engineering concepts with 5+ years of applied experience.
• Hands-on experience delivering system design, application development, testing, and operational stability.
• Advanced in Python with Flask or Django, APIs, microservices, testing, and production troubleshooting.
• Experience leading effective use of enterprise-authorized AI-assisted software development tools with ability to set team expectations for AI outputs.
• Strong understanding of responsible AI in engineering workflows, data sensitivity, secure handling of inputs/outputs, and resiliency and security.

Responsibilities

• Provides technical guidance to business and technical teams, contractors, and vendors.
• Develops secure, high-quality production code and reviews code written by others.
• Drives AI-assisted engineering practices to improve code quality, delivery speed, and operations; establishes validation standards.
• Applies knowledge of SDLC tools, including AI-assisted development and automation capabilities, to improve value at scale.
• Drives decisions influencing product design, application functionality, and technical operations.
• Acts as a function-wide subject matter expert in one or more focus areas.
• Contributes to engineering community by advocating firmwide SDLC frameworks, tools, and practices.

Skills

Python

Django/Flask

APIs

Microservices

CI/CD

Docker

Kubernetes

AI-assisted tools

Security awareness

Tools

Docker

Kubernetes

ECS/EKS

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 Corporate Technology, 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 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.
• 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

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s) - Python
• Experience in Python design and coding, Flask/Django or comparable frameworks, APIs, microservices, testing, data handling and production troubleshooting.
• 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.
• Experience with CI/CD pipelines, containerization (Docker, Kubernetes/ECS/EKS), and Infrastructure as Code
• Ability to tackle design and functionality problems independently with little to no oversight
• Practical cloud native experience