Remote Cloud Engineer (DevOps/SRE) with AI Coding Agents

Mercor

New York (NY)

Remote

USD 103,000 - 131,000

Part time

8 days ago

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Job summary

Mercor is seeking a DevOps/SRE/Cloud Engineer for remote contract work. You will use frontier AI coding agents to complete complex infrastructure tasks and evaluate model-generated outputs across cloud platforms, Kubernetes, CI/CD, and observability tooling.

Must have 2+ years in DevOps/SRE/Cloud Engineering and experience with AWS/Azure/GCP, Kubernetes, Terraform, and CI/CD pipelines. Regular use of AI coding agents is expected to guide reliability engineering decisions.

Qualifications

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

Responsibilities

  • Use frontier AI coding agents to complete and evaluate complex infrastructure tasks.
  • Review model-generated implementations across cloud platforms, Kubernetes, CI/CD, observability, and 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 scenarios.

Skills

DevOps / SRE experience
Cloud platforms (AWS/Azure/GCP)
Kubernetes
Terraform
CI/CD tooling
Observability tooling
AI coding agents familiarity
AI model evaluation

Tools

Cursor
Claude Code
Codex
Windsurf
Gemini CLI

Job description

Mercor is seeking a DevOps/SRE/Cloud Engineer for remote contract work. You will use frontier AI coding agents to complete complex infrastructure tasks and evaluate model-generated outputs across cloud platforms, Kubernetes, CI/CD, and observability tooling.

Must have 2+ years in DevOps/SRE/Cloud Engineering and experience with AWS/Azure/GCP, Kubernetes, Terraform, and CI/CD pipelines. Regular use of AI coding agents is expected to guide reliability engineering decisions.

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