Remote DevOps Engineer for AI Model Evaluation

Mercor

Sydney

Remote

AUD 137,000 - 216,000

Part time

3 days ago
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Benefits offered by this job

Remote work

Job summary

Mercor is seeking a DevOps/SRE/Cloud Engineer with Coding Agent Experience for a remote contract role. You will leverage frontier AI coding agents to tackle infrastructure tasks and evaluate model-generated implementations across cloud platforms, Kubernetes, CI/CD, observability, and automation.

You will identify bugs, edge cases, reliability issues, and failure modes, comparing outputs from multiple frontier models while applying engineering judgment to realistic scenarios.

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 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.
  • Compare outputs from multiple frontier models and assess their strengths and weaknesses.
  • Apply professional engineering judgment to realistic infrastructure engineering scenarios.
  • Work independently and asynchronously to meet sprint-based project deadlines.

Skills

DevOps/SRE/Cloud engineering
AI coding agents

Tools

AWS
Azure
GCP
Kubernetes
Terraform
CI/CD pipelines
observability tooling

Job description

Mercor is seeking a DevOps/SRE/Cloud Engineer with Coding Agent Experience for a remote contract role. You will leverage frontier AI coding agents to tackle infrastructure tasks and evaluate model-generated implementations across cloud platforms, Kubernetes, CI/CD, observability, and automation.

You will identify bugs, edge cases, reliability issues, and failure modes, comparing outputs from multiple frontier models while applying engineering judgment to realistic scenarios.

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