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 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 label their quality.
• 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 DevOps engineering experience.
• 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, or GCP).
• Familiarity with Linux system administration and shell scripting.
• Knowledge of monitoring and observability tools (Datadog, ELK Stack, Grafana, Prometheus).
• Relevant certifications (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
• Azure
• Google Cloud Platform
• Linux system administration
• Shell scripting
• Datadog
• ELK Stack
• Grafana
• Prometheus