Note: The job is a remote job and is open to candidates in USA. 24-MAG LLC offers an independent consulting opportunity for a Senior Backend Engineer to create realistic reinforcement-learning environments that test AI systems against production infrastructure challenges. The role focuses on backend and distributed systems, cloud infrastructure, security, DevOps, reliability, and validation of reproducible environments.

Responsibilities

• Design realistic technical environments involving backend services, distributed systems, networking, queues, and durable storage
• Create production-style scenarios covering deployment, scaling, troubleshooting, and recovery
• Evaluate architecture for reliability, scalability, resilience, and operational correctness
• Incorporate realistic failure modes and infrastructure constraints
• Apply strong systems-design judgement across cloud environments
• Develop scenarios involving IAM, authentication, authorisation, permissions, and access control
• Work with CI/CD, infrastructure automation, rolling deployments, and operational workflows
• Incorporate observability, monitoring, and diagnostic requirements
• Design fault-tolerance and disaster-recovery scenarios
• Identify common production configuration, networking, and security failures
• Build reproducible environments with deterministic validation
• Create golden reference solutions and objective acceptance criteria
• Develop defective variants that test troubleshooting and recovery skills
• Validate expected behaviour, failure conditions, and edge cases
• Document architecture, assumptions, operational flows, and technical trade-offs clearly

Skills

• Strong professional backend-engineering experience
• Expertise in one or more of C++, Python, Rust, Go, Java, or JavaScript
• Strong practical experience with DevOps and cloud infrastructure
• Experience with CI/CD pipelines and infrastructure automation
• Demonstrated ability to architect, scale, and secure distributed systems
• Deep understanding of networking and Identity and Access Management
• Experience with message queues, durable storage, observability, and production diagnostics
• Strong knowledge of rolling deployments, fault tolerance, and disaster recovery
• Experience troubleshooting production-grade systems
• Ability to design deterministic tests and reproducible technical environments
• Strong technical documentation and communication skills
• No prior AI-training or model-evaluation experience is required

Benefits

• Fully remote.

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