Senior Lead Platform Engineer - Python

Are you ready to shape the future of technology at a global financial leader? Join us and make a real impact by building advanced cloud platforms that power data-driven decision making. At JPMorganChase, you’ll collaborate with top talent, leverage cutting-edge tools, and help deliver solutions that transform how we work. This is your chance to push boundaries, grow your expertise, and be part of a team that values innovation and continuous learning. Discover a career adventure where your ideas matter and your skills drive change.

As a Senior Lead Software Engineer, Cloud Platform in the Corporate AI and Machine Learning Data Platforms team, you will design and deliver secure, high-quality technology solutions that support our data and analytics strategy. You will develop cloud-based products, enhance productivity, and enable responsible innovation across the firm. You’ll collaborate with others to harness the power of artificial intelligence and machine learning, creating new opportunities and driving business success. You will have the chance to lead, grow, and make a difference in a dynamic, inclusive environment.

Job Responsibilities:

• Provide technical leadership and guidance to the cloud engineering team.

• Lead the design and development of secure, scalable, and reliable cloud infrastructure and platform tools.

• Drive adoption of modern Developer Experience (DevEx) practices and evolve CI/CD and developer tooling.

• 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.

• Align platform strategy and roadmaps with business priorities and lead cross-functional modernization initiatives.

• Evaluate, integrate, and govern strategic tooling to improve developer experience.

• Collaborate with development teams to identify and eliminate platform bottlenecks.

• Define and promote paved paths and self-service workflows for developers.

• Implement real-time telemetry pipelines and workflows for platform observability and analytics.

• Champion adoption of productivity tools through documentation, training, and engagement with the developer community.