Senior Platform Engineer

Apply senior-level cloud infrastructure and platform engineering expertise to create high-quality training environments for next-generation AI systems. This remote contractor role focuses on realistic production engineering scenarios that assess how models design, deploy, troubleshoot, secure, scale, and recover cloud infrastructure. Prior AI experience is not required. Key Responsibilities

• Create realistic cloud infrastructure tasks covering distributed systems, networking, security, scalability, and reliability.
• Develop scenarios involving IAM, queues, durable storage, observability, rolling deployments, and disaster recovery.
• Build reproducible, containerized environments with reference solutions and intentionally defective variants.
• Define measurable requirements for infrastructure configuration, deployed topology, and runtime behavior.
• Develop deterministic integration, load, security, failure-injection, deployment, and recovery tests.
• Debug environments, document technical decisions, and review tasks created by other experts.

• Senior-level experience in cloud infrastructure, platform engineering, DevOps, systems engineering, or SRE, including ownership of a production platform.
• Strong knowledge of distributed systems, scalable APIs, queues, autoscaling, durable storage, and partial-failure scenarios.
• Practical experience with IAM, private networking, least-privilege access, and service-to-service security.
• Experience with observability, measurable SLOs, rolling deployments, rollback strategies, and disaster recovery.
• Ability to write infrastructure automation or testing tools and debug containerized environments using a relevant programming language.

• Experience with Terraform or OpenTofu.
• Experience with AWS, Azure, GCP, Kubernetes, or multi-cloud infrastructure.
• Experience building internal developer platforms, edge infrastructure, or shared platform services.
• Experience with chaos engineering, fault injection, local cloud emulators, or resilience testing.
• Experience creating technical evaluations, automated grading systems, or AI environments is helpful but not required.

• Remote, independent contractor engagement.
• Work is output-based, with payment for each task that meets project specifications.
• Completion time varies based on experience and workflow.
• Minimum submission requirements apply, including a minimum number of tasks submitted each week.

$60 to $130 per hour.

• Submit an application and complete screening questions.
• Complete an AI interview of approximately 30 minutes, which is reviewed by recruiters.
• Proceed to hiring manager review.