Remote Cloud Engineer — AI-Powered DevOps & SRE

Mercor

Lisboa

Remote

EUR 89,000 - 121,000

Full time

3 days ago
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Job summary

Mercor is seeking a Cloud Engineer for a fully remote role to work with frontier AI coding agents on infrastructure tasks. The position emphasizes evaluating model-generated infrastructure across cloud platforms, Kubernetes, CI/CD pipelines, and observability tools.

The ideal candidate has 2+ years in DevOps/SRE/Cloud Engineering, with hands-on experience across AWS, Azure, GCP, and Terraform. This remote, international opportunity offers compensation per accepted task and collaboration with a

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 in model outputs.
  • Compare outputs from multiple frontier models to assess their strengths and weaknesses.
  • Apply professional engineering judgment to realistic infrastructure engineering scenarios.

Skills

DevOps
SRE
Cloud Engineering

Tools

AWS
Azure
GCP
Kubernetes
Terraform
CI/CD pipelines
Observability tooling

Job description

Mercor is seeking a Cloud Engineer for a fully remote role to work with frontier AI coding agents on infrastructure tasks. The position emphasizes evaluating model-generated infrastructure across cloud platforms, Kubernetes, CI/CD pipelines, and observability tools.

The ideal candidate has 2+ years in DevOps/SRE/Cloud Engineering, with hands-on experience across AWS, Azure, GCP, and Terraform. This remote, international opportunity offers compensation per accepted task and collaboration with a

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