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DevOps Engineer

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Remote

DevOps Engineer

Recruitment Room - Global

DevOps Engineer

Skills

Google Cloud PlatformDockerTypescriptPythonGolangGitLabJenkinsDatadogGrafanaAIAWSAnsiblePrometheusGitHubLinuxKubernetesTerraformAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Apac, Uganda

Work mode:

Remote

Published on:

25 August 2026

What they need


Job Type: Independent Contractor

Location: Remote

Compensation: $50–$100/hour ( $104,000–$208,000 annualized , based on 40 hours/week)

About The Opportunity We are seeking experienced DevOps Engineers to contribute to a customer project focused on scalable, modern cloud infrastructure.

You will apply your DevOps expertise to help train next-generation AI systems through high-quality, real-world technical input. No prior AI experience is required — your infrastructure and engineering expertise is what matters.

This opportunity is suited to professionals with strong experience in CI/CD, containers, Kubernetes, infrastructure as code, Linux, Git, and automation .

What You'll Do

  • Design realistic DevOps tasks based on production-style scenarios involving CI/CD, containers, orchestration, infrastructure as code, monitoring, and incident response.
  • Write working reference solutions with clear setup and validation steps.
  • Review AI-generated outputs, identify failures, and provide precise corrections with supporting reasoning.
  • Maintain a high standard for correctness and reproducibility.
  • Provide structured feedback to improve future task design.

Requirements

  • 3+ years of professional experience in DevOps, SRE, Platform, or Infrastructure Engineering.
  • Strong coding ability in Python, Go, Bash, or TypeScript.
  • Practical experience with CI/CD, including GitHub Actions, GitLab CI, or Jenkins.
  • Hands-on experience with Docker and Kubernetes.
  • Experience with at least one cloud platform: AWS, GCP, or Azure.
  • Infrastructure as Code experience with Terraform, Ansible, Pulumi, or CloudFormation.
  • Advanced knowledge of Linux and Git.
  • Professional English, written and spoken.
  • Availability of at least 20 hours per week.

Preferred Qualifications

  • Experience with observability tools such as Prometheus, Grafana, Datadog, or OpenTelemetry.
  • Background in security, secrets management, or platform reliability.
  • Open-source contributions or technical writing experience.
  • Previous experience with AI training data or model evaluation.

Contract Details

  • Work arrangement: Fully remote.
  • Engagement: Independent contractor.
  • Availability: Minimum 20 hours per week.
  • Projects may be extended, shortened, or concluded early depending on project requirements and performance.

Why Join

  • Apply your DevOps expertise to next-generation AI systems.
  • Work on realistic infrastructure, automation, and cloud engineering scenarios.
  • Help improve how AI systems reason about DevOps and production infrastructure.
  • Contribute your existing engineering expertise without requiring prior AI experience.

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