DevOps Engineer Annotator

About the role

We are looking for a detail‑oriented DevOps Engineer Annotator to support the development, evaluation, and optimisation of AI and large‑language‑model systems that learn from real‑world DevOps workflows. In this role you will review, annotate, validate and rank datasets that describe infrastructure configurations, automation scripts and CI/CD pipelines, helping AI models better understand DevOps practices.

Key responsibilities

• Annotate infrastructure‑as‑code and automation datasets to create high‑quality training material.
• Evaluate and label CI/CD pipeline configurations, deployment scripts and cloud infrastructure setups.
• Tag monitoring, logging and system reliability scenarios for observability datasets.
• Validate container‑orchestration and automation workflows, ensuring accuracy of annotations.
• Provide constructive feedback on DevOps engineering outputs to improve dataset quality.

Required profile

• Bachelor’s degree in Computer Science, Software Engineering or a related field.
• At least three years of hands‑on experience in DevOps engineering.
• Professional 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: Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP).
• Linux system administration and shell scripting.
• Monitoring and observability tools: Datadog, ELK Stack, Grafana, Prometheus.