DevOps Engineer Annotator

About the role

We are looking for a detail‑oriented DevOps Engineer Annotator to support the learning, evaluation, and optimisation of AI and large language model systems that focus on DevOps engineering workflows. In this role you will help improve AI understanding of real‑world DevOps practices by reviewing and labeling relevant datasets and automation artefacts.

Key responsibilities

• Annotate infrastructure‑as‑code and automation datasets.
• Evaluate CI/CD pipeline configurations and provide quality feedback.
• Review deployment scripts and cloud infrastructure setups.
• Label monitoring, logging, and system reliability scenarios.
• Validate container orchestration and automation workflows.
• Collaborate with AI teams to ensure accurate representation of DevOps practices.

Required profile

• Bachelor’s degree in Computer Science, Software Engineering or a related field.
• Minimum 3 years of hands‑on DevOps engineering experience.
• Proficiency with CI/CD tools such as Jenkins, GitLab CI/CD, CircleCI or similar platforms.
• Strong knowledge of containerisation and orchestration (Docker, Kubernetes, GitHub Actions).
• Hands‑on experience with at least one cloud platform (AWS, Azure, or GCP).
• Familiarity with Linux system administration and shell scripting.
• Knowledge of monitoring, observability and security practices.
• Relevant certifications (e.g., AWS Certified DevOps Engineer, CKA, Azure DevOps Engineer Expert, Google Professional DevOps Engineer).

Required skills

• Jenkins
• GitLab CI/CD
• CircleCI
• GitHub Actions
• Docker
• Kubernetes
• AWS
• Azure
• GCP
• Linux
• Shell scripting
• Datadog
• ELK Stack
• Grafana
• Prometheus