Senior Backend Engineer - Remote, Contract

Xperteez Technology Pvt Ltd; United States; Remote; USD 83,000 - 124,000; Part time

Job summary

Xperteez Technology Pvt Ltd. is seeking a Senior Backend Engineer on a contractor basis, remote with a minimum of 20 hours per week. You will design, implement, and validate cloud infrastructure environments to evaluate AI model proficiency in distributed systems, IAM, queues, and storage.

Collaboration with technical leads ensures robust, reproducible scenarios and scalable automation. The role emphasizes DevOps practices, security, and reliability in production-grade environments, with fast

Qualifications

• Proven backend development expertise across multiple languages.
• Experience designing scalable cloud-based systems and services.
• Strong knowledge of networking, IAM, queues, and storage concepts.

Responsibilities

• Design and implement cloud infrastructure environments for AI model evaluation.
• Create deterministic validation tests and recovery scenarios for distributed systems.
• Document architecture, edge cases, and operational flows for reproducibility.
• Collaborate with leads to refine environment specs and acceptance criteria.
• Apply DevOps practices to deliver secure, scalable evaluation environments.

Skills

C++

Python

Rust

GoLang

JAVA

JavaScript

DevOps

Job description

Role Title

Senior Backend Engineer

Role Type

Contractor (At least 20 hrs per week)

Location

Remote

Required Skills

C++ Python Rust GoLang JAVA JavaScript DevOps

Scope of Work

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, and 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.

Preferred 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.

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.

Originally posted on Himalayas