DevOps Engineer
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Location:
Remote Responsibilities
* Use frontier AI coding agents to complete and evaluate complex infrastructure engineering tasks.
* Review model-generated implementations involving cloud platforms, Kubernetes, CI/CD systems, and infrastructure automation.
* Identify bugs, edge cases, reliability issues, and failure modes in model outputs.
* Compare outputs from multiple frontier models to assess strengths and weaknesses.
* Apply professional engineering judgment to realistic infrastructure engineering scenarios. Qualifications Must-Have
* 2+ years of professional DevOps, SRE, or Cloud Engineering experience.
* Experience with AWS, Azure, GCP, Kubernetes, Terraform, CI/CD pipelines, or observability tooling.
* Regular use of AI coding agents like Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
* Ability to evaluate model-generated infrastructure and reliability engineering solutions. Qualifications Preferred
* Experience supporting production-scale systems. Compensation & Legal
* $400 per accepted task.
* Compensation is tied to accepted work. #J-18808-Ljbffr
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