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