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 (LLM) systems that focus on DevOps engineering workflows. You will review, annotate, validate and rank DevOps‑related 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.

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

What we offer

• Opportunity to work on cutting‑edge AI/ML projects in the DevOps domain.
• Collaborative environment with a focus on continuous learning.