April 5
🔄 Hybrid – London
• Build, maintain, and scale a self-service production Kubernetes cluster to run machine learning workloads in the cloud • Help develop and execute the cloud roadmap • Work closely with internal users and customers to understand technical requirements • Apply and improve cloud engineering best practices • Implement and maintain observability tooling for workloads hosted in various environments
• Experience running a production Kubernetes cluster • Experience with Helm, Terraform, Ansible, and Packer • Experience with public cloud platforms such as AWS, Azure, and GCP • Experience architecting high-performance compute clusters in the cloud • Experience with Docker or Podman • Understanding of cloud networking and identity and access management best practices • Understanding of observability, metrics, traces, logs, and related open-source tools • Understanding of cloud security fundamentals • Familiarity with hybrid software and hardware deployments • Familiarity with programming or scripting languages such as Golang, Python, Bash, etc.
• Make an impact and meaningfully shape an early-stage company • Work with a fun group of colleagues • Experience a truly flat hierarchy • Work sustainably, balancing work and personal life • Competitive compensation and equity package • Generous vacation and parental leave • Complimentary office food • Fun outings and events • Flexible work setting • Option to work from home • Access to first-class equipment including in-house HPC and GPU stack
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