DevOps Engineer

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. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. - By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy