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

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. Key Responsibilities DevOps Scenario & Task Design • 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 Reference Solutions & Reproducibility • 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 AI Output Review & Technical Evaluation • 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 Cloud, Containers & Infrastructure as Code • 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 Platform Reliability & Engineering Quality • 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 Ideal Profile • 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 • 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 • No prior experience in AI is required Engagement Details • Independent contractor engagement • Fully remote • Compensation: $50–$100/hour • Minimum availability: approximately 20 hours per week • Work will involve DevOps task design, reference-solution development, AI-output evaluation, cloud infrastructure, CI/CD, containers, and Infrastructure as Code • Strong coding ability and hands-on infrastructure experience are central to this engagement • Assignments may involve Kubernetes, Terraform, Linux, Git, Docker, cloud platforms, monitoring, and incident-response scenarios • Project scope, workload, technical focus, and evaluation standards may evolve depending on project requirements • Work must be completed without using confidential or proprietary information belonging to any employer, client, institution, or other third party About the Platform This opportunity is available through 24-MAG LLC. 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