Mercor is a platform connecting elite technical talent with leading AI research labs, backed by prominent investors. We are currently seeking a skilled Cloud Engineer to join our team in a fully remote capacity to help advance the capabilities of frontier AI coding agents.
Key responsibilities
- Utilize 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.
Requirements
- At least 2 years of professional DevOps, SRE, or Cloud Engineering experience.
- Proficiency 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, or similar tools.
- Proven ability to evaluate model-generated infrastructure and reliability engineering solutions.
- Experience supporting production-scale systems is highly preferred.
What we offer
- The opportunity to work at the cutting edge of AI development and infrastructure engineering.
- A fully remote work environment that allows for flexibility and autonomy.
- Engagement with high-impact projects that shape the future of AI research labs.
- Competitive compensation structure based on project-based deliverables.