DevOps Engineer
via micro1
Key skills
- Kubernetes
- Git
- Python
About the job
Experienced DevOps and infrastructure engineers can use their production know-how to improve how AI models handle real cloud and automation work. The role suits engineers who enjoy writing clean, working code and explaining their reasoning clearly. The contract supports a client project for an AI training company, and no background in AI is needed.
What you'll do
- Build realistic DevOps challenges drawn from production scenarios such as CI/CD pipelines, containers, Kubernetes, IaC, monitoring and incident handling
- Produce reference solutions that run, along with setup and verification steps
- Check answers written by AI models, pinpoint where they go wrong and explain the fix
- Hold every task to high standards for correctness and reproducibility, and give structured feedback on task design
What you'll need
- 3+ years of professional infrastructure, platform, SRE or DevOps engineering
- Solid programming skills in Python, Go, Bash or TypeScript, beyond simple scripting
- Hands-on work with GitHub Actions, GitLab CI or Jenkins, plus Docker, Kubernetes and AWS, GCP or Azure
- Experience with Terraform, Ansible, Pulumi or CloudFormation, deep Linux and Git skills, and professional-level English in writing and conversation
Good to know
- Contract engagement, fully remote
- Requires a minimum of 20 hours of availability each week
- Observability, security or open source experience, and prior AI evaluation work, are a plus
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