DevOps Engineer Annotator

About the role

We are looking for a detail‑oriented DevOps Engineer Annotator to support the creation, evaluation, and optimisation of AI and Large Language Model (LLM) datasets focused on DevOps workflows. The role involves reviewing, annotating and validating infrastructure‑as‑code, CI/CD pipelines and cloud engineering outputs to improve model understanding of real‑world DevOps practices.

Key responsibilities

• Annotate infrastructure‑as‑code and automation script datasets.
• Evaluate and label CI/CD pipeline configurations.
• Review deployment scripts, cloud infrastructure setups and container orchestration workflows.
• Tag monitoring, logging and system reliability scenarios.
• Validate container orchestration and automation pipelines.
• Provide quality feedback to improve AI model outputs.

Required profile

• Bachelor’s degree in Computer Science, Software Engineering or a related field.
• Minimum 3 years of hands‑on DevOps engineering experience.
• Strong knowledge of Linux system administration and shell scripting.
• Relevant certifications such as AWS Certified DevOps Engineer, CKA, Azure DevOps Engineer Expert or Google Professional DevOps Engineer.

Required skills

• CI/CD tools: Jenkins, GitLab CI/CD, CircleCI, GitHub Actions.
• Containerisation and orchestration: Docker, Kubernetes.
• Cloud platforms: AWS, Azure, Google Cloud Platform.
• Monitoring and observability: Datadog, ELK Stack, Grafana, Prometheus.
• Automation and scripting on Linux environments.