[Hiring] Senior DevOps & Infrastructure Engineer @Turing

Role Description

Join Turing's global Infrastructure Engineering team and help build the cloud infrastructure and developer platform that power our business. You will make the systems engineers rely on more reliable, secure, scalable, and efficient as the company grows. This is a hands-on role for an engineer who enjoys turning manual work into durable automation, solving difficult production problems, and raising the bar for operational excellence. You will work across cloud infrastructure, reliability, developer tooling, and security in close partnership with application and security teams.

You will have meaningful ownership in a globally distributed team: working regularly with colleagues in U.S. Pacific Time, participating in the shared on-call rotation, and building systems that allow engineers to ship faster with confidence.

Qualifications

• 5+ years in cloud, infrastructure, DevOps, SRE, or platform engineering
• Production GCP experience
• Independent experience with Terraform, CI/CD systems such as GitHub Actions, Jenkins, Cloud Deploy, or equivalents
• Strong knowledge of cloud architecture, distributed systems, VPCs, firewalls, load balancers, WAFs, and securing cloud environments
• Strong scripting or programming skills in Python, Go, Shell, or equivalent technologies
• Experience handling complex incidents and conducting root-cause analysis

Requirements

• Operate and continuously improve production infrastructure across GCP, AWS, and Azure
• Lead incident response, troubleshoot complex issues, drive root-cause remediation
• Build and support engineering platforms, release pipelines, and deployment automation
• Run production Kubernetes and GKE environments
• Design and troubleshoot cloud networking, including VPCs, firewalls, load balancers, routing, DNS, and WAFs
• Use AI-assisted engineering tools to improve log analysis, debugging, troubleshooting, and optimization
• Participate in a shared global on-call rotation and respond to production incidents
• Work across GCP, AWS, Azure, Kubernetes, developer tooling, networking, security, and reliability

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, ICML, and NeurIPS
• Bring frontier AI innovation to the enterprise
• Collaborate with and learn from exceptional colleagues with deep AI experience from leading technology companies
• Move at the pace of AI innovation, with the speed, ownership, and impact of a startup