Site Reliability Engineer, Inference Infrastructure

Job summary

Responsibilities

We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.

• Build self-service systems that automate managing, deploying and operating services.
• This includes our custom Kubernetes operators that support language model deployments.
• Automate environment observability and resilience. Enable all developers to troubleshoot and resolve problems.
• Take steps required to ensure we hit defined SLOs, including participation in an on-call rotation.
• Build strong relationships with internal developers and influence the Infrastructure team’s roadmap based on their feedback.

What they're looking for

• 5+ years of engineering experience running production infrastructure at a large scale
• Experience designing large, highly available distributed systems with Kubernetes, and GPU workloads on those clusters
• Experience with Kubernetes dev and production coding and support
• Experience with GCP, Azure, AWS, OCI, multi-cloud on-prem / hybrid serving
• Experience in designing, deploying, supporting, and troubleshooting in complex Linux-based computing environments

Tech stack

• Kubernetes
• GCP
• Azure
• AWS
• Go
• C++