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Member of Technical Staff — DevOps

Causal Labs· Infrastructure
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San Francisco, SingaporeFull-timePosted 3w ago

About the role

Infrastructure engineer focused on maximizing developer velocity by designing, building, and operating the platform and internal infrastructure for agentic development, enabling rapid iteration for engineers and researchers.

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

Qualifications

  • 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

Skills

Required:Developer velocity optimizationSelf-hosting/serving open-source LLMsLinux systemsNetworkingContainers and orchestrationInfrastructure as codeCI/CD toolingCloud platforms
Last updated Oct 2, 2026. Interested? Apply on the company site.

About Causal Labs

Towards general causal intelligence

Causal Labs is building a Large Physics foundation Model (LPM) to learn causality through physics and weather

causalityphysicsweatherAIfoundation model
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