Senior DevOps & Infrastructure Engineer

📋 Description

• Operate and continuously improve production infrastructure across GCP, AWS, and Azure
• Participate in a global on-call rotation, lead incident response, troubleshoot complex issues
• Use AI-assisted engineering tools to support log analysis, debugging, troubleshooting, and
• Build and support engineering platforms, release pipelines, and deployment automation using GitHub
• Design and maintain secure, scalable Terraform-based IaC, develop reusable modules, automate
• Operate production Kubernetes/GKE environments across deployment, scaling, networking, security

🎯 Requirements

• 5+ years of experience in cloud, infrastructure, DevOps, SRE, or platform engineering, including
• Independent experience with Terraform/IaC, CI/CD using tools such as GitHub Actions, Jenkins, Cloud
• Strong understanding of cloud architecture, distributed systems, and networking, including VPCs
• Strong scripting or programming skills in Python, Go, Shell, or equivalent
• Experience responding to production incidents, troubleshooting complex issues, and conducting
• Strong communication, ownership, and problem-solving skills

🎁 Benefits

• Work at the frontier of AI, helping the world’s leading AI labs improve their most advanced models
• Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR
• Bring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to
• Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta
• Move at the pace of AI innovation, with the speed, ownership, and impact of a startup