Lead Software Engineer - Python , Fast API , AWS

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within Infrastructure Platforms team, you will take technical ownership of core services in a multi-vendor CDN control plane, partnering with stakeholders to deliver capabilities that improve performance, reliability, and safety. You'll design, build, and run production services, drive system design decisions, and strengthen engineering standards across the team. You'll contribute to an inclusive culture grounded in respect, ownership, and continuous improvement. Job responsibilities Design, build, and run secure, scalable backend services and APIs using Python with Django and/or FastAPI Apply responsible AI-assisted development workflows to accelerate delivery while maintaining strong engineering discipline Automate network services infrastructure and network provisioning workflows, including API integrations and (where needed) React-based user interface components Lead system design efforts and produce clear architecture and design artifacts to support high-quality technical decisions Improve operational stability by eliminating recurring issues through automation, enhanced observability, and resilient design Review code, coach engineers, and raise standards across testing, continuous integration/continuous delivery, security, and reliability Build and maintain high-quality delivery pipelines with automated tests, meaningful coverage, and pragmatic quality gates Partner with internal teams and evaluate external vendors when it accelerates outcomes and aligns to the target architecture Contribute to an inclusive team culture that values collaboration, accountability, and continuous improvement Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Hands-on experience in software engineering experience with ownership of production systems Strong Python development skills, including writing well-tested, maintainable code Experience building and maintaining APIs using Django and/or FastAPI (or similar frameworks) Strong system design skills across distributed services, data stores (relational and NoSQL), and messaging systems (for example, RabbitMQ) Practical experience running services in the cloud, including Amazon Web Services patterns and services Solid understanding of secure software development lifecycle practices, continuous integration/continuous delivery, and operational excellence (monitoring, alerting, incident response, resiliency) Demonstrated ability to lead through influence via code reviews, technical decision-making, and mentoring within a team Demonstrated experience leading effective use of approved AI-assisted software development tools (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 engineers on safe, compliant adoption within delivery practices Preferred qualifications, capabilities, and skills Infrastructure as Code experience (Terraform preferred) Experience with content delivery network, web application firewall, and edge security providers (for example, Cloudflare or Akamai) Familiarity with modern front-end development using React Experience using AI-assisted coding and design tools in production environments with appropriate security and quality controls Experience building in regulated environments and delivering to strong risk and security controls