Cloud Engineer - Fully Remote | Upto $85/hr

Mercor; Toronto; Remote; CAD 137,000 - 196,000; Part time

Job summary

Mercor connects elite creative and technical talent with leading AI research labs and is hiring a DevOps/SRE/Cloud Engineer for a remote contract role. You will work with frontier AI coding agents to perform infrastructure tasks across cloud platforms, Kubernetes, Terraform, CI/CD, and observability, evaluating model-generated solutions.

The role requires 2+ years in DevOps/SRE/Cloud, experience with cloud stacks (AWS/Azure/GCP), container and automation tooling, and comfort using AI coding

Qualifications

• 2+ years of professional DevOps, SRE, or Cloud Engineering experience.
• Experience with AWS, Azure, GCP, Kubernetes, Terraform, CI/CD pipelines, or observability tooling.
• Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
• Ability to evaluate model-generated infrastructure and reliability engineering solutions.

Responsibilities

• Use frontier AI coding agents to complete and evaluate complex infrastructure tasks.
• Review model-generated implementations involving cloud platforms, Kubernetes, CI/CD, observability, and infrastructure automation.
• Identify bugs, edge cases, reliability issues, and failure modes in model outputs.
• Compare outputs from multiple frontier models to assess strengths and weaknesses.
• Apply professional engineering judgment to realistic infrastructure engineering scenarios.

Skills

DevOps

SRE

Cloud engineering

AWS

Azure

GCP

Kubernetes

CI/CD

Observability tooling

AI tooling familiarity

Tools

Kubernetes

Terraform

CI/CD pipelines

Observability tooling

Cursor

Claude Code

Codex

Windsurf

Gemini CLI

Job description

About The Job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: DevOps / SRE / Cloud Engineer (Coding Agent Experience)

Type: Contract

Compensation: $85/hour

Location: Remote

Role Responsibilities

• Use frontier AI coding agents to complete and evaluate complex infrastructure engineering tasks.
• Review model-generated implementations involving cloud platforms, Kubernetes, CI/CD systems, observability, and infrastructure automation.
• Identify bugs, edge cases, reliability issues, and failure modes in model outputs.
• Compare outputs from multiple frontier models to assess their strengths and weaknesses.
• Apply professional engineering judgment to realistic infrastructure engineering scenarios.

Must-Have

• 2+ years of professional DevOps, SRE, or Cloud Engineering experience.
• Experience with AWS, Azure, GCP, Kubernetes, Terraform, CI/CD pipelines, or observability tooling.
• Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
• Ability to evaluate model-generated infrastructure and reliability engineering solutions.

Preferred

• Experience supporting production-scale systems.

Compensation & Legal

• $400 per accepted task
• Compensation tied to accepted work.