[Hiring] Senior Backend Engineer @24-MAG

Role Description

We are sharing a specialised consulting opportunity for experienced Senior Backend Engineers with strong expertise in backend development, distributed systems, cloud infrastructure, DevOps, networking, IAM, observability, and production-grade systems engineering to contribute to an advanced AI training and reinforcement-learning environment project. Selected professionals will create realistic reinforcement-learning environments that test advanced AI systems on production infrastructure challenges involving system design, deployment, troubleshooting, security, scalability, and recovery. No prior experience in AI is required.

Key Responsibilities

• Backend, Distributed Systems & Infrastructure
  • 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
• Security, DevOps & Reliability
  • 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
• Validation & Environment Quality
  • 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

Qualifications

• 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

Engagement Details

• Independent contractor engagement
• Fully remote
• Expected commitment: approximately 20 hours per week
• Displayed compensation range: $50–$100/hour
• Actual compensation structure is output-based, with payment made per task that meets project specifications
• Task completion time may vary depending on experience and workflow
• Minimum weekly submission requirements apply; the source does not specify the exact number of required tasks
• Work will involve reinforcement-learning environments, backend engineering, distributed systems, DevOps, cloud infrastructure, deterministic testing, and golden reference solutions
• Screening includes an approximately 30-minute AI interview followed by hiring-manager review
• Roles are typically filled within approximately 48 hours, with initial tasks expected within approximately 24–48 hours after onboarding
• Project scope, workload, infrastructure scenarios, and evaluation standards may evolve depending on project requirements
• Work must be completed without using confidential or proprietary information belonging to any employer, client, institution, or other third party