Frontier Cloud Engineer for AI-Driven Infra Evaluation

Mercor; Warszawa; Remote; PLN 618,000 - 1,029,000; Part time

Job summary

Mercor partners with a leading AI research lab to support a Frontier Code Agents project. You will help evaluate frontier AI coding models by performing structured assessments on infrastructure tasks and model outputs.

The role focuses on real-world engineering workflows, cloud platforms, Kubernetes, and automation. The position requires 2+ years in DevOps/SRE/Cloud, hands-on cloud tools, and the ability to judge model-generated infrastructure with professional rigor.

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.

Skills

DevOps

SRE

Cloud Engineering

AWS

Azure

GCP

AI coding agents

Model evaluation

Production systems

Tools

Kubernetes

Terraform

CI/CD pipelines

Observability tooling

Job description

Mercor partners with a leading AI research lab to support a Frontier Code Agents project. You will help evaluate frontier AI coding models by performing structured assessments on infrastructure tasks and model outputs.

The role focuses on real-world engineering workflows, cloud platforms, Kubernetes, and automation. The position requires 2+ years in DevOps/SRE/Cloud, hands-on cloud tools, and the ability to judge model-generated infrastructure with professional rigor.