Senior Backend Engineer

SaidGig; New York (NY); Remote; USD 69,000 - 138,000; Part time

Job summary

SaidGig in the United States is seeking a contractor to build production-grade cloud infrastructure environments for AI model evaluation. You will design scalable scenarios covering distributed systems, networking, IAM, and storage, focusing on reproducibility and automation.

This remote independent contractor role requires strong backend skills and DevOps experience; commitment is about 20 hours per week, with task-based delivery and rapid availability.

Qualifications

• Strong backend programming experience in one or more of C++, Python, Rust, Go, Java, or JavaScript.
• Practical experience with DevOps, cloud infrastructure, CI/CD pipelines, and automation tools.
• Demonstrated ability to architect, scale, and secure distributed systems in production environments.
• Deep understanding of networking, IAM, queues, persistent storage, and disaster recovery.

Responsibilities

• Design, develop, and implement cloud infrastructure environments for evaluating systems design, deployment, and troubleshooting capabilities.
• Create reproducible scenarios covering distributed systems, networking, IAM, message queues, durable storage, observability, rolling deployments, and disaster recovery.
• Develop deterministic validation tests and golden reference solutions.
• Create intentionally defective variants and failure scenarios to test model responses and recovery strategies.
• Document architecture, edge cases, and operational flows so environments remain clear and reproducible.
• Work with technical leads and project participants to refine environment specifications and acceptance criteria.
• Apply DevOps and infrastructure automation practices to deliver scalable, secure, maintainable cloud evaluation environments.

Skills

C++

Python

Rust

Go

Java

JavaScript

DevOps

Cloud infrastructure

CI/CD pipelines

Automation tools

Distributed systems

Scale

Security

Networking

IAM

Queues

Persistent storage

Disaster recovery

Tools

CI/CD pipelines

Job description

Role Overview

Build realistic, production-grade cloud infrastructure environments that help train and evaluate next-generation AI systems. You will create scenarios that assess an AI model''s ability to design, deploy, troubleshoot, secure, scale, and recover cloud systems. Prior AI experience is not required.

Key Responsibilities

• Design, develop, and implement cloud infrastructure environments for evaluating systems design, deployment, and troubleshooting capabilities.


• Create reproducible scenarios covering distributed systems, networking, IAM, message queues, durable storage, observability, rolling deployments, and disaster recovery.


• Develop deterministic validation tests and golden reference solutions.


• Create intentionally defective variants and failure scenarios to test model responses and recovery strategies.


• Document architecture, edge cases, and operational flows so environments remain clear and reproducible.


• Work with technical leads and project participants to refine environment specifications and acceptance criteria.


• Apply DevOps and infrastructure automation practices to deliver scalable, secure, maintainable cloud evaluation environments.

Qualifications

• Strong backend programming expertise in one or more of C++, Python, Rust, Go, Java, or JavaScript.


• Practical experience with DevOps, cloud infrastructure, CI/CD pipelines, and automation tools.


• Demonstrated ability to architect, scale, and secure distributed systems in production environments.


• Deep understanding of networking, IAM, queues, persistent storage, and disaster recovery.

Work Terms

• Remote independent contractor engagement.


• Expected commitment of 20 hours per week.


• Work is task-based and includes minimum weekly task-submission requirements.


• Roles are typically filled within 48 hours, with immediate availability preferred.

Compensation

Advertised rate: $50 to $100 per hour.

Compensation is output-based and paid per task that meets project specifications. Time required may vary based on experience and workflow.