Senior Infrastructure / Backend Engineer — GCP Production Systems

About Turing

Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.

Role Overview

We are seeking senior Infrastructure or Backend Engineers to operate and support critical GCP services, including a Perplexity-customized QC service and Cloud Run-based runner and packaging infrastructure. The role requires independent ownership of deployments, production issues, uptime, and trainer support for three months.

What does day-to-day look like

• Manage and monitor production deployments across GCP-based services.
• Maintain reliability, uptime, and performance across distributed workloads.
• Debug and resolve backend, infrastructure, and deployment issues.
• Support the runner and final-packaging systems on GCP Cloud Run.
• Maintain and improve the QC service customized for Perplexity.
• Troubleshoot failures across hundreds of concurrent runs and large pod fleets.
• Respond independently to trainers’ technical questions and operational requests.
• Collaborate with engineering and operations teams on incident resolution and service improvements.
• Document recurring issues, fixes, deployment procedures, and operational runbooks.

Requirements

• 5+ years of hands-on experience in infrastructure engineering, backend engineering, or production systems.
• Strong production experience with Google Cloud Platform, particularly Cloud Run and related services.
• Advanced Python backend development experience, including debugging and maintaining production services.
• Strong knowledge of Kubernetes, containerized workloads, SQL databases, and distributed systems.
• Experience operating highly concurrent production workloads and independently handling deployments, incidents, and bug fixes.

Location

• Remote — candidates based in the United States or Latin American time zones are preferred.

Perks of Freelancing With Turing

• Work on cutting-edge AI projects with leading foundation model companies
• Collaborate on high-impact work at the frontier of LLM evaluation and reasoning
• Remote, flexible opportunities with global teams

Offer Details

• Commitments Required: 8 hours per day with a 6-8 hour overlap with PST.
• Employment Type: Contractor position (Note: this role does not include medical/paid leave).
• Duration of Contract: 3 months [expected start date is immediate].

Evaluation process

• Profile review followed by an interview by delivery team (if required)