DevOps Engineer Annotator

About the role

The DevOps Engineer Annotator will support AI and LLM initiatives by creating high‑quality annotated data that reflects real‑world DevOps practices. This role focuses on reviewing, labeling, and validating infrastructure‑as‑code, CI/CD pipelines, and cloud automation scripts to improve model understanding of DevOps workflows.

Key responsibilities

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

Required profile

• Bachelor’s degree in Computer Science, Software Engineering or a related field.
• Minimum three years of hands‑on experience in DevOps engineering.
• Proven ability to work with CI/CD tools and cloud platforms.
• Strong analytical skills and attention to detail for data annotation.
• 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.
• Containerization and orchestration: Docker, Kubernetes, GitHub Actions.
• Cloud platforms: AWS, Microsoft Azure, Google Cloud Platform.
• Linux system administration and shell scripting.
• Monitoring and observability: Datadog, ELK Stack, Grafana, Prometheus.