Senior Backend Engineer
Xperteez Technology2 weeks ago
- Where you can work from
- Remote — location eligibility not stated
- Salary
- Salary not disclosedThe employer did not publish a range. We do not estimate one.
- Job type
- Contract
- Experience
- Senior
Heads up: The employer did not state which countries this role is open to. Check the original posting before applying.
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Job description
Role Title: Senior Backend Engineer
Role Type: Contract (20 hrs per week)
Location: Remote
Required Skills
C++
Python
Rust
Golang
Java
Javascript
Devops
In this role, you'll 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 model’s 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 expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of 20-hour task 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
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Job availability & source
Still listed on the employer's own board at our last check, 6 days ago
This job was originally posted by the employer or source shown below. We re-check the original listing regularly to keep its availability current, and send you straight to it to apply — we never sit in between.
- Source
- Himalayas
- Posted by the employer
- 9 Oct 2026
- First seen by us
- 13 Oct 2026
- Last checked
- 18 Oct 2026
via Himalayas — view on source
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