Frontier AI Cloud Engineer: Infra & Model Evaluation

Mercor; Amsterdam; Remote; Full time

Benefits offered by this job

Payment per task

Job summary

Mercor collaborates with a leading AI research lab on a Frontier Code Agents project to assess infrastructure engineering tasks and model outputs. You will review model-driven implementations across cloud platforms, Kubernetes, CI/CD, observability, and automation, applying professional judgment to real-world scenarios.

Ideal candidates have 2+ years in DevOps/SRE, cloud engineering, and hands-on experience with AWS/AZ/GCP, Kubernetes, Terraform, and CI/CD tools, plus familiarity with 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.
• Experience supporting production-scale systems is preferred.

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.

Skills

DevOps

SRE

Cloud engineering

AWS

Azure

GCP

Kubernetes

Terraform

CI/CD pipelines

Observability tooling

AI coding agents

Production-scale systems

Tools

AWS

Azure

GCP

Kubernetes

Terraform

CI/CD pipelines

Observability tooling

Job description

Mercor collaborates with a leading AI research lab on a Frontier Code Agents project to assess infrastructure engineering tasks and model outputs. You will review model-driven implementations across cloud platforms, Kubernetes, CI/CD, observability, and automation, applying professional judgment to real-world scenarios.

Ideal candidates have 2+ years in DevOps/SRE, cloud engineering, and hands-on experience with AWS/AZ/GCP, Kubernetes, Terraform, and CI/CD tools, plus familiarity with AI coding