Site Reliability Engineering Jobs

Anthropic

The Safeguards ML Infra team is responsible for designing, building, and operating the production infrastructure that powers Claude's safety systems. This role is central to ensuring safeguards are properly configured and deployed for model launches, and owning the off-cycle deployment of new safety classifiers. The team ensures safety on the token generation path and manages the operational aspects of deploying these systems into production, including standing up safeguards for new model launches and deploying new safety classifiers. Every frontier model release goes through this team, which configures, verifies, and rolls out safeguards across all Claude platforms and leads incident response when issues arise. The goal is to automate manual checks into continuous validation and evolve launch runbooks into robust tooling.

$320k - $485k

NVIDIA's Site Reliability Engineering (SRE) team is seeking a Principal SRE to shape the technical direction of the company's AI Platform Runtime. This role involves leading reliability engineering initiatives across multiple organizations, solving complex enterprise-scale problems, and establishing architectural standards for critical AI-powered services. The Principal SRE will also drive the adoption of AI agents and skills to enhance platform operations and developer productivity. The team values intellectual curiosity, diversity, collaboration, and continuous learning through blameless analysis, encouraging bold thinking and impactful improvements.

Cerebras Systems is seeking a Senior Software Engineer to build and operate the platform layer behind their engineering infrastructure. This role focuses on designing, building, and maintaining CI/CD systems, Kubernetes-based platforms, and deployment automation. You will work on cloud and on-premises infrastructure, developer environments, artifact management, and observability, ensuring these systems are reliable, scalable, and easy to operate. This is an engineering-focused role where you will automate repetitive tasks, debug complex issues across system boundaries, and drive durable software and platform improvements.