[Hiring] Senior Backend Engineer @Xperteez Technology

Role Description

As a Senior Backend Engineer, you will:

• 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
  • Disaster recovery
• Develop deterministic validation tests and golden reference solutions to ensure the reliability and accuracy of reinforcement learning environments.
• Produce intentionally defective variants and failure scenarios to rigorously test AI model responses and recovery strategies.
• 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.
• Apply DevOps and infrastructure automation practices to deliver scalable, secure, and maintainable solutions for cloud-based systems evaluation.

Qualifications

• Proven expertise with backend programming languages, such as C++, Python, Rust, GoLang, JAVA, or JavaScript.
• Strong practical experience with DevOps, cloud infrastructure, CI/CD pipelines, and automation tools.
• Demonstrated ability to architect, scale, and secure distributed systems in production-grade environments.
• Deep understanding of networking, IAM, queues, durable storage, and disaster recovery concepts.

Requirements

• Apply to the role, filling out the screening questions.
• Complete AI interview (approximately 30 minutes), reviewed by recruiters.
• Hiring Manager review.

Compensation Structure

• Compensation is output-based; experts are paid per task that meets the project specifications.
• The time required to complete work may vary depending on the expert’s experience and workflow.
• Minimum submission requirements apply; experts must submit a minimum of tasks per week.

Start Timeline & Availability

• We typically fill roles within 48 hours and are looking for experts ready to jump in right away.
• If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.