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 (LLM) systems that focus on DevOps engineering workflows. The role involves reviewing, annotating, validating and ranking DevOps‑related datasets, infrastructure configurations and automation scripts to improve model understanding of real‑world DevOps practices.

Key responsibilities

• Annotate infrastructure‑as‑code and automation datasets.
• Evaluate CI/CD pipeline configurations and deployment scripts.
• Review cloud infrastructure setups and label monitoring, logging and reliability scenarios.
• Validate container orchestration and automation workflows.
• Provide quality feedback on DevOps engineering outputs to guide AI model improvements.

Required profile

• Bachelor’s degree in Computer Science, Software Engineering or a related field.
• Minimum three years of hands‑on DevOps engineering experience.
• Relevant certifications such as AWS Certified DevOps Engineer, Certified Kubernetes Administrator, Microsoft 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, Microsoft Azure, Google Cloud Platform.
• Linux system administration and shell scripting.
• Monitoring and observability: Datadog, ELK Stack, Grafana, Prometheus.