DevOps Engineer Annotator

About the role

We are looking for a detail‑oriented DevOps Engineer Annotator to support the creation, evaluation, and optimisation of AI and Large Language Model (LLM) datasets that focus on DevOps engineering workflows. You will work with infrastructure‑as‑code, CI/CD pipelines and cloud engineering outputs to improve model understanding of real‑world DevOps practices.

Key responsibilities

• Annotate infrastructure‑as‑code and automation datasets.
• Evaluate and label CI/CD pipeline configurations.
• Review deployment scripts and cloud infrastructure setups.
• Label monitoring, logging and system 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 experience in DevOps engineering.
• Proficiency with CI/CD tools such as Jenkins, GitLab CI/CD, CircleCI or similar.
• Strong knowledge of containerisation and orchestration (Docker, Kubernetes, GitHub Actions).
• Hands‑on experience with at least one cloud platform (AWS, Azure, GCP).
• Familiarity with monitoring, observability and security practices.
• Linux system administration and shell‑scripting expertise.
• Relevant certifications (e.g., AWS Certified DevOps Engineer, CKA, Azure DevOps Engineer Expert, Google Professional DevOps Engineer).

Required skills

• Jenkins
• GitLab CI/CD
• CircleCI
• Docker
• Kubernetes
• GitHub Actions
• AWS
• Microsoft Azure
• Google Cloud Platform
• Datadog
• ELK Stack
• Grafana
• Prometheus
• Linux
• Shell scripting