YO HR Consultancy

Role Title: DevOps Engineer
Role Type: Contractor
Location: Remote
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
<ul>
<li>Design realistic DevOps tasks based on production-style scenarios (CI/CD, containers, orchestration, IaC, monitoring, incident response)</li>
<li>Write working reference solutions with clear setup and validation steps</li>
<li>Review AI-generated output, identify failures, and write precise corrections with reasoning</li>
<li>Maintain a strict quality bar on correctness and reproducibility</li>
<li>Share structured feedback that improves future task design</li>
</ul>
Required qualifications
<ul>
<li>3+ years of professional experience in DevOps, SRE, Platform, or Infrastructure engineering</li>
<li>Strong coding ability in Python, Go, Bash, or TypeScript (this role needs real code, not scripts alone)</li>
<li>Practical depth in CI/CD (GitHub Actions, GitLab CI, Jenkins), Docker, Kubernetes, and at least one cloud (AWS, GCP, Azure)</li>
<li>Infrastructure as Code experience (Terraform, Ansible, Pulumi, or CloudFormation)</li>
<li>Advanced Linux and Git</li>
<li>Professional English, written and spoken</li>
<li>Availability of at least 20 hours per week</li>
</ul>
Preferred qualifications
<ul>
<li>Observability stack experience (Prometheus, Grafana, Datadog, OpenTelemetry)</li>
<li>Security, secrets management, or platform reliability background</li>
<li>Open source contributions or technical writing</li>
<li>Previous AI training data or model evaluation work</li>
</ul>