DevOps Engineer

micro1 is engaging DevOps Engineers to contribute to a dynamic customer project focused on scalable, modern cloud infrastructure. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This opportunity is ideal for professionals passionate about automation, infrastructure as code, and continuous improvement, with a special focus on strong written and verbal communication skills.

Key responsibilities
\- Design realistic DevOps tasks based on production-style scenarios (CI/CD, containers, orchestration, IaC, monitoring, incident response) \- Write working reference solutions with clear setup and validation steps \- Review AI-generated output, identify failures, and write precise corrections with reasoning \- Maintain a strict quality bar on correctness and reproducibility \- Share structured feedback that improves future task design

Required qualifications
\- 3+ years of professional experience in DevOps, SRE, Platform, or Infrastructure engineering \- Strong coding ability in Python, Go, Bash, or TypeScript (this role needs real code, not scripts alone) \- Practical depth in CI/CD (GitHub Actions, GitLab CI, Jenkins), Docker, Kubernetes, and at least one cloud (AWS, GCP, Azure) \- Infrastructure as Code experience (Terraform, Ansible, Pulumi, or CloudFormation) \- Advanced Linux and Git \- Professional English, written and spoken \- Availability of at least 20 hours per week  

Preferred qualifications
\- Observability stack experience (Prometheus, Grafana, Datadog, OpenTelemetry) \- Security, secrets management, or platform reliability background \- Open source contributions or technical writing \- Previous AI training data or model evaluation work