Senior Technical Architect [Remote]

Role Overview

Apply hands-on platform engineering expertise to help train next-generation AI systems through realistic, production-grade cloud infrastructure challenges. You will create Reinforcement Learning Environments that evaluate an AI model''s ability to design, deploy, troubleshoot, secure, scale, and recover cloud infrastructure. AI experience is not required; strong domain knowledge and production experience are central to this contract role.

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 validated reference solutions and intentionally defective variants.
• Define measurable requirements for infrastructure configuration, deployed topology, and runtime behavior.
• Create 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 technical architecture, cloud infrastructure, platform engineering, DevOps, systems engineering, or SRE, including personal 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.
• Compensation is output-based and paid per task that meets project specifications. Time required may vary based on experience and workflow.
• Minimum submission requirements apply, including a minimum number of tasks submitted each week.

Compensation

$60 to $130 per hour.

Application Process

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