Devops Engineer Annotator

Odixcity Consulting

Portugal

Presencial

EUR 45 000 - 65 000

Tempo integral

há 20 horas
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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
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