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

Job Description

**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.

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