Note: The job is a remote job and is open to candidates in USA. Mercor connects creative and technical talent with leading AI research labs. The company is seeking a DevOps, SRE, or Cloud Engineer to use and evaluate AI coding agents on complex infrastructure engineering tasks, reviewing model-generated implementations and identifying reliability issues. The role involves comparing model outputs and independently completing project work in an asynchronous, sprint-based environment.
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
- Work independently and asynchronously to meet sprint-based project deadlines
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
- Remote work
Company Overview
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