Senior Infrastructure/Backend Engineer at Turing

Senior Infrastructure / Backend Engineer — GCP Production Systems | Contractor | Remote (US or LATAM Time Zones)

Join Turing, one of the world's fastest-growing AI companies, as a Senior Infrastructure or Backend Engineer supporting critical GCP production systems. This is a 3-month contract role requiring immediate availability and 8 hours/day with 6–8 hours of PST overlap.

About Turing

Turing accelerates the advancement and deployment of powerful AI systems, partnering with leading AI labs to push frontier model capabilities in reasoning, coding, agentic behavior, and more. We also build real-world AI solutions for mission-critical enterprise priorities.

Role Overview

You will independently own and operate critical GCP services, including a Perplexity-customized QC service and Cloud Run-based runner and packaging infrastructure. This role demands strong production ownership across deployments, uptime, incident response, and trainer support.

Day-to-Day Responsibilities

• 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 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.
• Proven ability to independently handle deployments, incidents, and bug fixes in highly concurrent production environments.

Contract Details

• Duration: 3 months (immediate start)
• Hours: 8 hours/day with 6–8 hour PST overlap
• Type: Contractor (no medical/paid leave benefits)
• Location: Remote — US or Latin American time zones preferred

Why Work With Turing?

• Contribute to cutting-edge AI projects with leading foundation model companies.
• Work at the frontier of LLM evaluation and reasoning.
• Flexible, remote opportunities with high-impact global teams.