Causal Labs - Member of Technical Staff — DevOps

San Francisco, California, United States3w ago

In Office Staff NA Cloud Computing Artificial Intelligence DevOps Engineer Linux Docker Kubernetes Terraform AWS

Requirements

• We value a relentless approach to problem-solving, rapid execution, and the ability to quickly learn in unfamiliar domains. • AI-pilled: uses coding agents daily and has built internal infrastructure for agentic development, not just used it • Experience self-hosting and serving open-source LLMs (e.g. vLLM, SGLang) • Strong systems background: Linux, networking, containers and orchestration (e.g. Docker, Kubernetes), infrastructure-as-code (e.g. Terraform) • Experience building CI/CD and developer tooling (e.g. GitHub Actions, Buildkite, Bazel, Nix) • Knowledge of cloud platforms (GCP, AWS, or Azure) and best practices for observability and security • Track record of measurably improving developer velocity • Owns deliverables end-to-end, from requirements through autonomous execution

Responsibilities

• Measure developer velocity, and partner with researchers, product engineers, and forward-deployed engineers to find what slows them down and remove it • Build internal infrastructure for agentic development: sandboxes, tool access, context, and eval harnesses that let autonomous research and coding agents run end to end • Self-host and serve open-source LLMs for internal agent use • Own CI/CD, build and test infrastructure, reproducible dev environments, and infrastructure-as-code so research and product code ship quickly and safely • Build the monitoring, alerting, and on-call for our product and customer-facing services to catch failures before users do • Own cost across the dev stack: track and cut spend on compute, tools, and inference