Cloud Engineer – Remote (up to $85/hr)
Mercor
Job description
About the role
We are looking for a Cloud Engineer to work remotely on cutting‑edge AI‑assisted infrastructure projects. You will use frontier AI coding agents to design, evaluate, and improve cloud‑native solutions for production environments.
Key responsibilities
- Leverage AI coding agents to complete complex infrastructure engineering tasks.
- Review and assess model‑generated implementations across cloud platforms, Kubernetes, CI/CD, observability, and automation.
- Identify bugs, edge cases, reliability issues, and failure modes in AI‑produced outputs.
- Compare results from multiple frontier models to determine strengths and weaknesses.
- Apply professional engineering judgment to real‑world infrastructure scenarios.
Required profile
- 2+ years of professional experience in DevOps, SRE, or Cloud Engineering.
- Hands‑on experience with AWS, Azure, GCP, Kubernetes, Terraform, CI/CD pipelines, and observability tooling.
- Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar.
- Ability to critically evaluate model‑generated infrastructure and reliability solutions.
Required skills
- AWS
- Azure
- Google Cloud Platform (GCP)
- Kubernetes
- Terraform
- CI/CD pipelines
- Observability tooling
- AI coding agents (Cursor, Claude Code, Codex, Windsurf, Gemini CLI)
What we offer
- Competitive hourly rate of $85 (USD)
- Fully remote work arrangement
- Opportunity to work with frontier AI technologies on real‑world infrastructure challenges
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