🛠 Tech Stack

💼 About This Role

You'll build and scale the reliability foundations of our AI cloud platform, including model development and GPU compute. You'll define SLOs, automation, and operational standards for large-scale distributed systems. This is a founding SRE role where you'll shape the function from scratch.

🎯 What You'll Do

• Own reliability, availability, and performance of cloud platforms.
• Define and operationalize SLOs, SLIs, and error budgets.
• Participate in 24/7 on-call rotation for incident response.
• Build automation for cluster operations and scaling tasks.

📋 Requirements

• Proven experience in an SRE role supporting large-scale cloud systems.
• Strong Kubernetes experience including production clusters.
• Hands-on experience with AWS, GCP, or Azure.
• Experience operating complex distributed systems with compute-heavy workloads.

✨ Nice to Have

• Experience operating GPU-backed environments or ML infrastructure.
• Familiarity with infrastructure-as-code (e.g., Terraform).
• Experience defining SLOs/SLIs and building reliability programs.

🎁 Benefits & Perks

• 🚀 Founding role with high impact on AI infrastructure.
• 💻 Hybrid work - 2 days per week in London office.
• 🌍 Work with cutting-edge Embodied AI technology.