Note: The job is a remote job and is open to candidates in USA. Mercor connects elite creative and technical talent with leading AI research labs. The company is seeking a DevOps, SRE, or Cloud Engineer to use AI coding agents, evaluate model-generated infrastructure solutions, and assess complex cloud engineering tasks. The role involves reviewing implementations, identifying reliability issues, comparing model outputs, and applying professional engineering judgment.
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
- • 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
Benefits
- $400 per accepted task
- Compensation tied to accepted work.
Company Overview
Company H1B Sponsorship