Job Description
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