• Contribute to the development and evolution of our internal platform-as-a-service used by application and service developers • Build and maintain tooling that improves developer workflows, deployment reliability, and day-to-day productivity • Collaborate with platform and application engineers to identify friction points and implement incremental improvements • Learn and apply best practices around Infrastructure-as-Code, containerized workloads, and CI/CD pipelines • Use, or are eager to adopt, AI-assisted development tools to improve productivity, and are excited to help explore and integrate LLM-powered solutions that automate internal support and operational workflows • Have opportunities to propose ideas and improvements, with support and mentorship from the team