Senior Platform Engineer

Shape next-generation AI systems by turning real-world cloud and platform engineering challenges into rigorous, production-grade evaluation environments. This remote contract role draws on your hands-on infrastructure expertise, no prior AI experience required.

Role Overview

You will create Reinforcement Learning Environments that assess an AI model''s ability to design, deploy, troubleshoot, secure, scale, and recover cloud infrastructure. Your work will reflect practical engineering conditions across distributed systems, networking, IAM, queues, durable storage, observability, rolling deployments, and disaster recovery.

Key Responsibilities

• Create realistic infrastructure tasks covering distributed systems, networking, security, scalability, and reliability.
• Build reproducible containerized environments, including working 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.

Qualifications

• Senior-level experience in cloud infrastructure, platform engineering, DevOps, systems engineering, or SRE, including direct 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.

Preferred Qualifications

• 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.

Work Terms

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

Compensation

$60 to $130 per hour.

Application Process

• Apply and complete the screening questions.
• Complete an approximately 30-minute AI interview, reviewed by recruiters.
• Proceed to hiring manager review.