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Member of Technical Staff — DevOps

Causal · San Francisco · On-site

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About Causal

Backed by Accel.

About the role

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 Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • 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
More about this role

We look for infrastructure engineers who are obsessed with engineering velocity. Everything we do — research, training, serving, customer deployments — moves only as fast as our tooling. Your mission is to design, build, and operate the platform underneath it all, including the internal infrastructure for agentic development, so every engineer and researcher can iterate rapidly with agents doing more of the work.

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

We value a relentless approach to...

Read the full posting on Causal's site ↗

Infrastructure

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