Senior DevOps & Infrastructure Engineer

📋 Description

• Own multi-cloud reliability: operate and improve production infrastructure across GCP, AWS, and
• Build the developer platform: build and support engineering platforms, release pipelines, and
• Operate production Kubernetes: run production Kubernetes and GKE environments across deployment
• Secure infrastructure by default: design and troubleshoot cloud networking (VPCs, firewalls, load
• Raise the operating standard: use AI-assisted engineering tools for log analysis, debugging, and

🎯 Requirements

• 5+ years of experience in cloud, infrastructure, DevOps, SRE, or platform engineering
• Hands-on ownership of GCP production environments
• Experience with Terraform and CI/CD systems such as GitHub Actions, Jenkins, Cloud Deploy, or
• Experience with production Kubernetes
• Strong knowledge of cloud architecture, distributed systems, VPCs, firewalls, load balancers, WAFs
• Strong scripting or programming skills in Python, Go, Shell, or equivalent technologies

🎁 Benefits

• Work at the frontier of AI, helping leading AI labs improve models with expert datasets, RL
• Contribute to leading-edge AI research with opportunities to showcase work at ICLR, ICML, NeurIPS
• Bring frontier AI innovation to enterprise solving real-world business challenges
• Collaborate with and learn from exceptional colleagues with AI experience from Google, Meta
• Move at the pace of AI innovation with startup speed, ownership, and impact