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Member of Technical Staff — DevOps

Listed by employer · Checked

Posted within 60 days ·

  • onsite
  • FullTime
  • Infrastructure
  • San Francisco
  • Singapore
Work arrangement
onsite
Employment
FullTime
Stated compensation
Not specified
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Requirements

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Remote policy
onsite
“Provider workplace type: onsite”
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Employment type
FullTime
9 fields not stated in this posting
Employer sponsorship
Not specified
Geographic scope
Not specified
Degree requirement
Not specified
Security clearance
Not mentioned
Timezone / hours
Not specified
Citizenship requirement
Not mentioned
Minimum experience (years)
Not specified
Work authorization
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Compensation
Not specified

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Original job description

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Member of Technical Staff — DevOps 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. Responsibilities
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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 What we'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 Track record of measurably improving developer velocity Owns deliverables end-to-end, from requirements through autonomous execution
Original formatting and links

Member of Technical Staff — DevOps

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.

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

What we'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

  • Track record of measurably improving developer velocity

  • Owns deliverables end-to-end, from requirements through autonomous execution

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