Remote Position
[Remote] Remote | Senior Backend Engineer — $50–$100/hour
🌍 Remote · United States
💼 Full-time
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.
Company Overview