Senior Lead Platform Engineer - Python

Job summary

The Senior Lead Software Engineer, Cloud Platform role is centered on designing and delivering secure, high-quality technology solutions that enhance data and analytics strategies. Responsibilities include leading cloud infrastructure development, promoting AI-assisted engineering practices, and implementing telemetry pipelines for observability. Candidates should have hands-on experience with major cloud providers and advanced knowledge of containerization and orchestration platforms.

Qualifications

• Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP)
• Advanced knowledge of containerization and orchestration platforms (Docker, Kubernetes, ECS, etc.)
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools
• Strong understanding of responsible AI use in engineering workflows
• Experience coaching senior engineers/leads on compliant usage patterns and controls
• Expertise in Developer Experience (DevEx) and CI/CD tools
• Strong knowledge of cloud security best practices
• Proficiency with cloud infrastructure provisioning tools
• Experience with logging and monitoring tools
• Deep understanding of cloud infrastructure design, architecture, and migration strategies

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
• Drive adoption and governance of approved AI-assisted engineering practices across teams
• Apply knowledge of tools within the Software Development Life Cycle toolchain
• Align platform strategy and roadmaps with business priorities
• 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
• Standardize use of AI-assisted coding tools and AI-powered development ecosystems
• Contribute to the design and development of AI agents and Model Context Protocol (MCP) integrations

Skills

Certifications

Degrees

Relocation