Senior Backend Engineer

Build realistic, production-grade cloud infrastructure environments that help train and evaluate next-generation AI systems. You will create scenarios that assess an AI model''s ability to design, deploy, troubleshoot, secure, scale, and recover cloud systems. Prior AI experience is not required.

• Design, develop, and implement cloud infrastructure environments for evaluating systems design, deployment, and troubleshooting capabilities.
• Create reproducible scenarios covering distributed systems, networking, IAM, message queues, durable storage, observability, rolling deployments, and disaster recovery.
• Develop deterministic validation tests and golden reference solutions.
• Create intentionally defective variants and failure scenarios to test model responses and recovery strategies.
• Document architecture, edge cases, and operational flows so environments remain clear and reproducible.
• Work with technical leads and project participants to refine environment specifications and acceptance criteria.
• Apply Dev Ops and infrastructure automation practices to deliver scalable, secure, maintainable cloud evaluation environments.

• Strong backend programming expertise in one or more of C++, Python, Rust, Go, Java, or JavaScript.
• Practical experience with Dev Ops, cloud infrastructure, CI/CD pipelines, and automation tools.
• Demonstrated ability to architect, scale, and secure distributed systems in production environments.
• Deep understanding of networking, IAM, queues, persistent storage, and disaster recovery.

• Remote independent contractor engagement.
• Expected commitment of 20 hours per week.
• Work is task-based and includes minimum weekly task-submission requirements.
• Roles are typically filled within 48 hours, with immediate availability preferred.

Advertised rate: $50 to $100 per hour.

Compensation is output-based and paid per task that meets project specifications. Time required may vary based on experience and workflow.