DevOps Engineer Annotator

About the role

We are looking for a detail‑oriented DevOps Engineer Annotator to support the training, evaluation and optimisation of AI and large language model systems that focus on DevOps engineering workflows. In this role you will review, annotate, validate and rank datasets, infrastructure configurations and automation scripts related to CI/CD pipelines and cloud engineering to improve model understanding of real‑world DevOps practices.

Key responsibilities

• Annotate infrastructure‑as‑code and automation datasets to create high‑quality training material.
• Evaluate and label CI/CD pipeline configurations and deployment scripts.
• Review cloud infrastructure setups on AWS, Azure or GCP and provide detailed feedback.
• Label monitoring, logging and system reliability scenarios using observability tools.
• Validate container‑orchestration workflows with Docker, Kubernetes and related automation.
• Provide quality feedback to improve AI model outputs on DevOps engineering tasks.

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.
• 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: Amazon Web Services, Microsoft Azure, Google Cloud Platform.
• Linux system administration and shell scripting.
• Monitoring and observability: Datadog, ELK Stack, Grafana, Prometheus.