DevOps Engineer Annotator

About the role

We are looking for a detail‑oriented DevOps Engineer Annotator to support the learning, evaluation, and optimisation of AI and large language model systems that focus on DevOps engineering workflows. You will work with datasets, infrastructure configurations and automation scripts to improve AI 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 enhance AI training data.

Required profile

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

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.
• Monitoring and observability: Datadog, ELK Stack, Grafana, Prometheus.
• Linux administration and shell scripting.