• Deep, hands-on experience running Kubernetes in production at scale.
• Strong experience with GCP, including designing, building and migrating cloud infrastructure end to end as an individual contributor.
• Strong Python skills and a habit of solving infrastructure problems with code and automation.
• Experience operating stateful systems (databases, Kafka) on behalf of other engineering teams.
• Solid fundamentals in infrastructure as code, security and permissions, and the pragmatism to prioritise what matters in a fast-moving environment.
• Bonus: experience with GPU clusters or ML training/inference infrastructure (e.g. vLLM), on-prem/bare-metal or deep networking experience, or open-source contributions in the cloud-native community.
• This role is remote and can be executed globally. If you prefer, you can work from our offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw.