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

24-MAG is offering a remote consulting opportunity for experienced DevOps, SRE, Platform, and Infrastructure Engineers to support an advanced AI training and technical evaluation project. The role involves designing realistic DevOps scenarios, developing reproducible reference solutions, evaluating AI-generated outputs, and applying cloud, container, CI/CD, infrastructure-as-code, and platform-reliability expertise.

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
• • No prior experience in AI is required
• • Fully remote
• • Minimum availability: approximately 20 hours per week
• • 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