DevOps / Infrastructure Engineer

What You'll Do6

• Coach research and engineering teams on gaps in model knowledge across DevOps, cloud platforms, reliability, and observability topics
• Author demanding, domain-specific problems and pair each one with a correct, clearly structured solution
• Score submitted infrastructure work and return specific written feedback on what holds up and what fails
• Create realistic scenarios such as Kubernetes manifests, Terraform modules, pipeline definitions, and incident debugging exercises
• Write rubrics that weigh infrastructure design choices, security posture, reliability targets, and cost tradeoffs
• Sync with other subject matter experts to keep training data consistent and factually sound

Requirements9

• 4+ years of focused professional work in DevOps, SRE, platform, or infrastructure engineering at a recognized, top-tier organization
• Production experience running Kubernetes and containers with Docker
• Hands-on use of infrastructure as code tools such as Terraform, Pulumi, or CloudFormation
• Depth with at least one major cloud provider: AWS, GCP, or Azure
• Working knowledge of CI/CD systems such as GitHub Actions, Jenkins, or ArgoCD
• Strong scripting in Python, Bash, or Go
• A career track that shows clear progression
• Availability of 20 or more hours per week during weekday hours
• Clear written communication, including the ability to justify complex technical decisions in plain language

Who Should Apply

Engineers with 4 or more years in DevOps, SRE, or platform roles who can defend their infrastructure decisions in writing. You should be fluent in Kubernetes, Terraform, and at least one major cloud, and comfortable turning that knowledge into teaching material for AI models.

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