DevOps Engineer – Platform, AI Evaluation

Posted 8hrs ago

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Job Description

DevOps/Platform Engineer designing production-style cloud infrastructure and automation scenarios. Reviewing AI-generated technical solutions for correctness, reproducibility, and operational quality.

Responsibilities:

  • Design realistic DevOps and infrastructure tasks based on production-style scenarios
  • Create working reference solutions with clear setup, execution, and validation steps
  • Develop scenarios covering CI/CD, containers, orchestration, Infrastructure as Code, monitoring, and incident response
  • Review AI-generated technical outputs for correctness, completeness, and reproducibility
  • Identify configuration, infrastructure, or implementation failures and provide precise corrections
  • Validate that technical tasks can be reproduced consistently in the intended environment
  • Apply a high quality bar to infrastructure design, automation, and operational workflows
  • Document technical reasoning, expected outcomes, and troubleshooting steps clearly
  • Provide structured feedback to improve future task and evaluation design

Requirements:

  • At least 3 years of professional experience in DevOps, SRE, Platform Engineering, or Infrastructure Engineering
  • Strong programming ability in Python, Go, Bash, or TypeScript, beyond basic scripting
  • Hands-on experience with CI/CD using tools such as GitHub Actions, GitLab CI, or Jenkins
  • Strong practical experience with Docker and Kubernetes
  • Professional experience with at least one major cloud platform: AWS, GCP, or Azure
  • Hands-on Infrastructure as Code experience with Terraform, Ansible, Pulumi, or CloudFormation
  • Advanced working knowledge of Linux and Git