Senior Backend Engineer

Responsibilities

• As an expert, you will create Reinforcement Learning Environments that test an AI model’s ability to design, deploy, troubleshoot, secure, scale, and recover production-grade cloud infrastructure. You will develop realistic scenarios involving distributed systems, networking, IAM, queues, durable storage, observability, rolling deployments, and disaster recovery, then build reproducible environments, deterministic validation tests, golden reference solutions, and intentionally defective variants.
• Design, develop, and implement realistic cloud infrastructure environments to evaluate AI model proficiency in systems design, deployment, and troubleshooting.
• Create detailed and reproducible scenarios involving distributed systems, networking, Identity and Access Management (IAM), message queues, persistent storage, observability, rolling deployments, and disaster recovery.
• Develop deterministic validation tests and golden reference solutions to ensure the reliability and accuracy of reinforcement learning environments.
• Document the architecture, edge cases, and operational flows for all developed environments, ensuring clarity and reproducibility for future use.
• Collaborate with technical leads and project participants to iteratively refine environment specifications and acceptance criteria.
• Hiring Manager review

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