DevOps Engineer Annotator

About the role

We are looking for a detail‑oriented DevOps Engineer Annotator to support AI and LLM initiatives by curating high‑quality DevOps‑related datasets. The role combines deep DevOps expertise with data‑annotation tasks to improve model understanding of CI/CD, cloud, and automation workflows.

Key responsibilities

• Annotate infrastructure‑as‑code, automation scripts and CI/CD pipeline configurations.
• Review and label deployment scripts, cloud infrastructure setups, and container orchestration workflows.
• Tag monitoring, logging and system reliability scenarios for training data.
• Validate and rank DevOps‑related datasets to ensure accuracy for AI models.
• Provide feedback on the quality of annotated outputs and suggest improvements.

Required profile

• Bachelor’s degree in Computer Science, Software Engineering or a related field.
• At least 3 years of hands‑on DevOps engineering experience.
• Proven experience with CI/CD platforms such as Jenkins, GitLab CI/CD, CircleCI or GitHub Actions.
• Strong knowledge of containerization and orchestration (Docker, Kubernetes).
• Hands‑on experience with one or more cloud providers (AWS, Azure, GCP).
• Familiarity with Linux system administration and shell scripting.
• Understanding of monitoring, observability and security best practices.
• Relevant certifications (e.g., AWS Certified DevOps Engineer, CKA, Azure DevOps Engineer Expert, Google Professional DevOps Engineer).

Required skills

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