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 that capture real‑world DevOps practices. The role combines deep knowledge of CI/CD pipelines, cloud infrastructure and container orchestration with a strong eye for data quality.

Key responsibilities

• Annotate infrastructure‑as‑code and automation datasets to improve model understanding.
• Evaluate and label CI/CD pipeline configurations and deployment scripts.
• Review cloud infrastructure setups across AWS, Azure, and GCP.
• Tag monitoring, logging, and system reliability scenarios using tools such as Datadog and ELK Stack.
• Validate container orchestration workflows with Docker, Kubernetes and GitHub Actions.
• Provide detailed feedback on DevOps engineering outputs to guide AI model training.

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 platforms (Jenkins, GitLab CI/CD, CircleCI or similar).
• Strong knowledge of containerization and orchestration (Docker, Kubernetes, GitHub Actions).
• Practical experience with at least one major cloud provider (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