Job Description Job Description DevOps Engineer
Role Type: Contractor
Location: Remote
Job Overview
We are seeking experienced DevOps Engineers to create and evaluate production-style infrastructure and automation tasks for next-generation AI systems. You will work on CI/CD, Kubernetes, infrastructure as code, Linux, and cloud environments while ensuring solutions are accurate, reproducible, and technically sound.
No prior AI experience is required-your DevOps expertise and engineering judgment are what matter most.
Key Responsibilities
- Design realistic DevOps tasks covering CI/CD, containers, Kubernetes, IaC, monitoring, and incident response.
- Create working reference solutions with clear setup and validation steps.
- Review AI-generated solutions, identify failures, and provide precise technical corrections.
- Maintain high standards for correctness, reliability, and reproducibility.
- Provide structured feedback to improve AI-generated DevOps workflows.
Required Skills
- Kubernetes
- Terraform
- CI/CD
- Python
- Linux
- Docker
- Git
- Cloud Platforms
- Infrastructure as Code
Required Qualifications
- 3+ years of professional experience in DevOps, SRE, Platform, or Infrastructure Engineering.
- Strong coding skills in Python, Go, Bash, or TypeScript.
- Hands-on experience with CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins.
- Practical experience with Docker, Kubernetes, and at least one major cloud platform.
- Infrastructure as Code experience with Terraform, Ansible, Pulumi, or CloudFormation.
- Advanced Linux and Git skills.
- Strong written and spoken English.
- Availability of at least 20 hours per week.
Preferred Qualifications
- Experience with Prometheus, Grafana, Datadog, or OpenTelemetry.
- Background in security, secrets management, or platform reliability.
- Open-source contributions or technical writing experience.
- Previous experience with AI training data or model evaluation.