Remote DevOps Engineer for AI-Driven Infra & SRE
Visa Hunt
Eine zielgenaue Bewerbung für diesen Job — ein maßgeschneiderter Lebenslauf und ein Anschreiben, die genau zur Stellenanzeige passen.
Zusammenfassung
Mercor connects elite creative and technical talent with leading AI research labs. We are seeking a DevOps/SRE/Cloud Engineer on a remote contract to advance infrastructure tasks using frontier AI coding agents.
The role emphasizes cloud platforms, Kubernetes, and CI/CD, with compensation at $85/hour and a focus on evaluating model outputs. The candidate will review AI-generated infrastructure work, identify reliability issues, and apply engineering judgment to real-world scenarios, supporting
Qualifikationen
- 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 like Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
- Ability to evaluate model-generated infrastructure and reliability engineering solutions.
- Preferred: Experience supporting production-scale systems.
Aufgaben
- Use frontier AI coding agents to complete and evaluate complex infrastructure engineering tasks.
- Review model-generated implementations involving cloud platforms, Kubernetes, CI/CD systems, and infrastructure automation.
- Identify bugs, edge cases, reliability issues, and failure modes in model outputs.
- Compare outputs from multiple frontier models to assess strengths and weaknesses.
- Apply professional engineering judgment to realistic infrastructure engineering scenarios.
Kenntnisse
Tools
Jobbeschreibung
Mercor connects elite creative and technical talent with leading AI research labs. We are seeking a DevOps/SRE/Cloud Engineer on a remote contract to advance infrastructure tasks using frontier AI coding agents.
The role emphasizes cloud platforms, Kubernetes, and CI/CD, with compensation at $85/hour and a focus on evaluating model outputs. The candidate will review AI-generated infrastructure work, identify reliability issues, and apply engineering judgment to real-world scenarios, supporting
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