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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
