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. In this role 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 provide quality feedback.
• Review deployment scripts and cloud infrastructure setups.
• Label monitoring, logging and system reliability scenarios.
• Validate container orchestration and automation workflows.
• Collaborate with AI teams to improve model performance on DevOps tasks.

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