AI-Driven DevOps Evaluator for Frontier Code Models

Mercor; San Francisco (CA); Hybrid; USD 55,000 - 91,000; Full time

Job summary

Mercor is seeking contributors to support a Frontier Code Agents project, focusing on infrastructure engineering workflows and model evaluation. You will use frontier AI coding agents to perform and assess complex tasks across cloud platforms, Kubernetes, CI/CD, and observability.

Expect 12–24 hour sprint stretches and compensation per accepted task. Ideal candidates have 2+ years in DevOps/SRE or cloud engineering, with experience in AWS, Azure, GCP, Kubernetes, Terraform, and CI/CD tools.

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

Observability tooling

AI coding agents

Production-scale systems

Model evaluation

Cross-functional collaboration

Tools

AWS

Azure

GCP

Kubernetes

Terraform

CI/CD pipelines

Observability tooling

Job description

Mercor is seeking contributors to support a Frontier Code Agents project, focusing on infrastructure engineering workflows and model evaluation. You will use frontier AI coding agents to perform and assess complex tasks across cloud platforms, Kubernetes, CI/CD, and observability.

Expect 12–24 hour sprint stretches and compensation per accepted task. Ideal candidates have 2+ years in DevOps/SRE or cloud engineering, with experience in AWS, Azure, GCP, Kubernetes, Terraform, and CI/CD tools.