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











