[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.

Company Description

This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

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