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Environment Engineer: Docker and Terminal Task Environments

  • Remote
  • Independent contractor
  • Project-based
  • 2+ years

About the work

Agent benchmarks run inside containers, and a task is only fair if its environment builds the same way every time. We build the Docker images, terminal environments and verifiers that coding and terminal tasks depend on.

How it works

You build and maintain containerised environments for coding and terminal tasks, pin dependencies, and write the scripts that verify a solution. When a build fails or a result changes between runs, you find the cause and fix it so the task becomes repeatable.

Who this is for

DevOps, platform and infrastructure engineers who are at home in Linux and Docker. You enjoy tracking down why something works on one machine and not another, and you write setup steps other engineers can rely on.

What you’ll do

  • Build Docker images and terminal environments for coding tasks
  • Pin dependencies and remove sources of non-determinism
  • Write and maintain verifier scripts and build tooling
  • Investigate flaky builds and environment-specific failures
  • Document setup steps and environment constraints

Who should apply

  • 2+ years of experience with Linux, Docker and shell scripting
  • Experience with dependency management across languages
  • Familiarity with CI pipelines
  • Methodical debugging of build and environment issues

Contract & payment terms

  • You will be engaged as an independent contractor, not as an employee.
  • This is fully remote work, open to applicants in any location.
  • Work is project-based. Availability varies, and an application does not guarantee an assignment.
  • Pay, scope, review criteria and access are confirmed at onboarding, after you sign a Non-Disclosure Agreement (NDA) and an Independent Contractor Agreement (ICA).
  • Please do not share confidential material from a current or former employer or client.
Posted by Clorvin Labs

Clorvin Labs builds coding tasks, evaluation datasets and reproducible environments for AI teams. Our project network brings in experienced specialists when a project needs them.

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