Remote | DevOps Engineer — \$50–\$100/hour

About the position

We are sharing a specialised consulting opportunity for experienced DevOps, SRE, Platform, and Infrastructure Engineers with strong expertise in Kubernetes, Terraform, CI/CD, Python, Linux, cloud infrastructure, and infrastructure as code to contribute to an advanced AI training and technical evaluation project. Selected professionals will design realistic DevOps tasks based on production-style scenarios, build working reference solutions, evaluate AI-generated technical outputs, and provide precise corrections grounded in practical infrastructure engineering. The work requires strong coding ability, hands-on cloud and platform experience, and a high standard for correctness and reproducibility. No prior experience in AI is required.

Responsibilities

  • Design realistic technical tasks based on production-style DevOps environments
  • Create scenarios involving CI/CD, containers, orchestration, infrastructure as code, monitoring, and incident response
  • Ensure tasks reflect practical engineering constraints rather than purely theoretical exercises
  • Define clear expected outcomes and validation criteria
  • Maintain technical realism across infrastructure and platform-engineering workflows
  • Write working reference solutions for DevOps and infrastructure tasks
  • Provide clear setup, execution, and validation steps
  • Build reproducible solutions that can be verified consistently
  • Document assumptions, dependencies, and environment requirements
  • Maintain a strict quality bar for technical correctness
  • Review AI-generated solutions to DevOps and infrastructure problems
  • Identify technical failures, incorrect assumptions, and incomplete implementations
  • Write precise corrections explaining both the issue and the appropriate solution
  • Evaluate outputs for correctness, reliability, and operational viability
  • Provide structured feedback that improves future task and evaluation quality
  • Work with Docker, Kubernetes, and modern containerised infrastructure
  • Design or evaluate CI/CD workflows using platforms such as GitHub Actions, GitLab CI, or Jenkins
  • Apply Infrastructure as Code using Terraform, Ansible, Pulumi, CloudFormation, or comparable tools
  • Work across at least one major cloud platform such as AWS, GCP, or Azure
  • Apply strong Linux and Git practices across technical workflows
  • Assess infrastructure solutions for scalability, reliability, maintainability, and security
  • Diagnose deployment, configuration, or automation failures
  • Incorporate observability and operational best practices where relevant
  • Maintain consistent standards across production-style engineering tasks
  • Contribute structured feedback that supports continuous improvement of technical evaluation frameworks

Requirements

  • 3+ years of professional experience in DevOps, SRE, Platform Engineering, Infrastructure Engineering, or a closely related role
  • Strong coding ability in Python, Go, Bash, TypeScript, or comparable languages
  • Ability to work with real application and infrastructure code rather than relying solely on basic scripting
  • Practical experience with CI/CD systems such as GitHub Actions, GitLab CI, or Jenkins
  • Strong experience with Docker and Kubernetes
  • Hands-on experience with at least one major cloud platform, including AWS, GCP, or Azure
  • Infrastructure as Code experience with Terraform, Ansible, Pulumi, CloudFormation, or comparable tooling
  • Advanced Linux and Git proficiency
  • Strong written and spoken English

Nice-to-haves

  • Experience with observability platforms such as Prometheus, Grafana, Datadog, or OpenTelemetry is advantageous
  • Security, secrets-management, or platform-reliability experience is beneficial
  • Open-source contributions or technical-writing experience are valued
  • Previous AI-training or model-evaluation experience is beneficial but not required

Benefits

  • Independent contractor engagement
  • Fully remote
  • Compensation: \$50–\$100/hour
  • Minimum availability: approximately 20 hours per week
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