Senior Backend Engineer

RemoteJobsOne; Dubai; Remote; AED 253,000 - 506,000; Part time

Job summary

RemoteJobsOne is seeking Senior Backend Engineers for a fully remote, contractor role (20 hrs/week) based in the United Arab Emirates. You will design and implement advanced cloud infrastructure environments to evaluate AI model proficiency, focusing on scalable, secure systems, observability, and disaster recovery.

You will craft deterministic tests and reproducible scenarios to ensure reliability and efficiency in production environments.

Qualifications

• Proficient in backend languages (C, Python, Rust, Go, Java, JavaScript).
• Strong DevOps and cloud infra experience with CI/CD pipelines and automation tools.
• Architect scalable, secure distributed systems in production environments.
• Deep understanding of networking, IAM, storage, observability, and DR concepts.

Responsibilities

• Design and implement realistic cloud environments for AI model evaluation.
• Create reproducible scenarios involving distributed systems and storage.
• Develop deterministic tests and golden references for RL environments.
• Generate defective variants to test model responses and recovery strategies.
• Document architectures, edge cases, and operational flows for future reuse.
• Collaborate with leads to refine environment specs and acceptance criteria.
• Apply automation practices to deliver scalable, secure cloud solutions.

Skills

C

Python

Rust

Go

Java

JavaScript

Distributed Systems

Cloud Infra

Tools

CI/CD Pipelines

Automation Tools

Job description

IMPORTANT: after you apply please check your email. We send you a link to complete your application it is not considered until that last step is done. If you do not see it check your spam folder.

This is a fully remote position open to candidates based in United Arab Emirates.

Pay: $50$100/hr

Role Title: Senior Backend Engineer

Role Type: Contractor (20 hrs perweek)

Location: Remote

We are engaging Senior Backend Engineers to participate in an advanced project for a customer focused on creating sophisticated Reinforcement Learning Environments for AI model training and this role youll apply your expertise to help train next-generation AI systems. Your work will shape how models learn reason and perform through high-quality real-world input. No prior experience in AI is required your domain knowledge is what matters.

As an expert you will create Reinforcement Learning Environments that test an AI models ability to design deploy troubleshoot secure scale and recover production-grade cloud infrastructure. You will develop realistic scenarios involving distributed systems networking IAM queues durable storage observability rolling deployments and disaster recovery then build reproducible environments deterministic validation tests golden reference solutions and intentionally defective variants.

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.

Process

• Apply to the role filling out the screening questions
• Complete AI interview (aprox. 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 experts 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 2448 hours of completing onboarding.