Backend and Infrastructure Engineers

We are looking for experienced backend and infrastructure engineers to design sophisticated reinforcement-learning environments that test how AI systems handle distributed systems, cloud infrastructure, deployment, troubleshooting, security, scaling, and recovery.

The work combines backend engineering, DevOps, cloud architecture, and systems reliability. No prior AI experience is required.

Responsibilities include designing realistic cloud and backend environments for evaluating complex AI-driven technical tasks, building reproducible scenarios involving distributed systems, networking, IAM, queues, persistent storage, and observability, and creating environments that test deployment, troubleshooting, scaling, security, and disaster-recovery workflows.

• Design realistic cloud and backend environments for evaluating complex AI-driven technical tasks.
• Build reproducible scenarios involving distributed systems, networking, IAM, queues, persistent storage, and observability.
• Create environments that test deployment, troubleshooting, scaling, security, and disaster-recovery workflows.
• Develop deterministic validation tests and clear acceptance criteria.
• Produce golden reference implementations and technically correct solution paths.
• Create intentionally defective configurations and realistic failure scenarios.
• Design scenarios involving rolling deployments, service failures, access-control problems, and recovery procedures.
• Apply DevOps, CI/CD, and infrastructure-automation practices to environment development.
• Document system architecture, operational flows, edge cases, and validation logic.
• Collaborate with technical leads to refine technical specifications and evaluation quality.