Requirements
- 8+ years of professional software engineering experience, with at least 2 years in engineering management or technical team leadership
- A strong technical foundation: you have built and operated distributed systems, cloud-native infrastructure, or platform tooling. You can evaluate a cluster architecture, a CI/CD pipeline design, or a shared library API with real depth.
- Experience with cloud-native infrastructure (Kubernetes/EKS, infrastructure-as-code, container orchestration, service networking)
- Experience establishing engineering standards: CI/CD pipelines, service templates, observability defaults, deployment patterns
- Demonstrated ability to hire, develop, and retain strong engineers
- Strong communication skills: you can translate between infrastructure complexity and team priorities, and represent the platform in cross-team discussions
- A pragmatic, service-oriented mindset: you understand that the platform team's success is measured by how effectively other teams can build on it
Nice to Have
- Proficiency with AI-assisted development tools (e.g., Claude Code, Cursor, GitHub Copilot) and a demonstrated ability to integrate them into daily engineering workflows to accelerate delivery, improve code quality, and automate routine development tasks. Eagerness to share AI best practices with peers is also a plus!
