DevOps Engineer Annotator

About the role

We are looking for a detail‑oriented DevOps Engineer Annotator to support the creation and improvement of AI and Large Language Model datasets focused on DevOps engineering workflows. You will work with infrastructure‑as‑code, CI/CD pipelines, and cloud automation to help AI models better understand real‑world DevOps practices.

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.
• 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 three 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 containerization and orchestration (Docker, Kubernetes, GitHub Actions).
• Hands‑on experience with at least one major cloud platform (AWS, Azure, GCP).
• Familiarity with Linux system administration and shell scripting.
• Knowledge of monitoring and observability tools (Datadog, ELK Stack, Grafana, Prometheus).
• Relevant certifications (e.g., AWS Certified DevOps Engineer, CKA, Azure DevOps Engineer Expert, Google Professional DevOps Engineer) are a plus.

Required skills

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