DevOps Engineer Annotator

Job Summary: We are a detailed-oriented DevOps Engineer Annotator to support the learning, evaluation, and optimization of Artificial Intelligence( AI ) and Large Language Model (LLM) systems focused on DevOps engineering workflows. The DevOps Engineer Annotator will help in reviewing, annotating, validating, and ranking DevOps- related datasets, infrastructure configurations, automation scripts, focused on CI/CD pipelines, and cloud engineering outputs, and infrastructure management to improve AI model understanding of DevOps practices.

Job Responsibilities

• Annotate infrastructure-as-code and automation datasets.
• Evaluate 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.

Job Requirements

• Bachelor’s Degree in computer science, Software Engineering or related field.
• Minimum 3 years’ experience in DevOps Engineering.
• Proficiency with CI/CD tools such as Jenkins, GitLab CI/CD, CircleCI or similar Platforms and automation pipelines.
• Strong knowledge of containerization and orchestration with Docker, Kubernetes, Jenkins, GitHub Actions.
• Hands-on experience with cloud platforms (AWS, Azure, or GCP).
• Knowledge of infrastructure monitoring and security practices.
• Familiarity with Linux system administration expertise and shell scripting.
• Knowledge of monitoring and observability tools such as: Datadog, ELK Stack, Grafana, and Promethus)
• Candidate must have certifications such as AWS Certified DevOps Engineer, Certified Kubernetes Administrator (CKA), Microsoft Azure DevOps Engineer Expert, and Google Professional DevOps Engineer