DevOps Engineer Annotator

About the role

We are looking for a detail‑oriented DevOps Engineer Annotator to support the learning, evaluation, and optimization of AI and Large Language Model (LLM) systems that focus on DevOps engineering workflows. You will review, annotate, validate, and rank DevOps‑related datasets, infrastructure configurations, and automation scripts to improve model understanding of real‑world DevOps practices.

Key responsibilities

• Annotate infrastructure‑as‑code and automation datasets.
• Evaluate CI/CD pipeline configurations and deployment scripts.
• Review cloud infrastructure setups and label monitoring, logging, and 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 containerization and orchestration (Docker, Kubernetes, GitHub Actions).
• Hands‑on experience with at least one cloud platform (AWS, Azure, or GCP).
• Knowledge of infrastructure monitoring, security practices, and Linux system administration.
• Familiarity with monitoring and observability tools (Datadog, ELK Stack, Grafana, Prometheus).
• Relevant certifications (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
• Azure
• Google Cloud Platform
• Linux
• Shell scripting
• Datadog
• ELK Stack
• Grafana
• Prometheus