Senior Infrastructure / Backend Engineer — GCP Production Systems

Employer description and requirements

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)