DevOps / IaC Engineer

* Design and build realistic, high-quality infrastructure and automation challenges that rigorously test AI model capabilities * Review and refine existing DevOps scenarios for technical accuracy, depth, and clarity * Write and evaluate Infrastructure as Code using Terraform, Pulumi, or CloudFormation * Architect cloud-based infrastructure scenarios across AWS, GCP, or Azure — covering networking, IAM, VPCs, and resource policies * Develop CI/CD pipeline challenges using tools like GitHub Actions, CircleCI, or equivalent * Create and assess containerized and orchestrated workloads with Docker and Kubernetes * Document your technical reasoning, design decisions, and evaluation rationale clearly and concisely

Who You Are

* 4+ years of hands-on experience in DevOps, SRE, or cloud infrastructure roles * Deep expertise in Infrastructure as Code — Terraform strongly preferred; Pulumi or AWS CloudFormation also valued * Proficient with at least one major cloud provider (AWS preferred; Azure or GCP accepted) * Strong command of containers (Docker) and orchestration (Kubernetes) * Solid understanding of networking fundamentals, IAM, VPCs, security groups, and resource policies * Experienced writing modular, DRY IaC with responsible state management practices * Comfortable with CI/CD pipelines and deployment automation * Strong written communication skills in English — you can explain complex systems clearly

Nice to Have

* Experience in Site Reliability Engineering or platform engineering * Familiarity with ML infrastructure, GPU workloads, or AI development pipelines * Background in cloud security, compliance, or zero-trust architecture * Prior experience in technical writing, documentation, or challenge/exam design * Bachelor's or advanced degree in Computer Science, Engineering, or a related field

Why Join Us

* Work on cutting-edge AI projects alongside leading research labs and top-tier AI teams * Fully remote and async — work when and where it suits you, on your own schedule * Direct impact — the challenges you craft directly improve how frontier AI models reason about real infrastructure * Clear ownership — you know exactly what success looks like and have the autonomy to deliver it * Growth potential — high performers take on expanded scope and help mentor incoming subject matter experts * Flexible workload — engage as much or as little as your schedule allows, with rolling project availability