AI & DevOps Data Annotator for CI/CD Systems

Odixcity Consulting; Portugal; Presencial; EUR 45 000 - 65 000; Tempo integral

Resumo da oferta

Odixcity Consulting seeks a detail-oriented DevOps Engineer Annotator to support AI/LLM learning, evaluation, and optimization of DevOps workflows. You will review, annotate, validate, and rank DevOps datasets, CI/CD configurations, and cloud infrastructure outputs to improve AI model understanding of DevOps practices.

The role focuses on annotating infrastructure-as-code, validating deployment scripts, and ensuring reliable, observable systems with strong emphasis on security and best practices

Qualificações

• Bachelor’s degree in computer science, software engineering or related field.
• Minimum 3 years’ experience in DevOps Engineering.

Responsabilidades

• 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.

Conhecimentos

CI/CD Tools

Containerization

Cloud Platforms

Linux & Scripting

Monitoring & Observability

Security Practices

Formação académica

Bachelor's degree in Computer Science or Software Engineering

Ferramentas

Jenkins

GitLab CI/CD

CircleCI

Docker

Kubernetes

GitHub Actions

Datadog

ELK Stack

Grafana

Prometheus

Descrição da oferta de emprego

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