Remote Cloud DevOps Engineer using AI Coding Agents

mercor; Schweiz; Remote; CHF 82,000 - 112,000; Part time

Job summary

Mercor is seeking a DevOps / SRE / Cloud Engineer (Coding Agent Experience) for a remote contract role. You will use frontier AI coding agents to tackle and evaluate infrastructure tasks, review model-generated implementations across cloud platforms, Kubernetes, CI/CD, and observability, and identify bugs and reliability issues in model outputs.

You will compare outputs from multiple frontier models, applying professional engineering judgment to realistic infrastructure scenarios and ensuring

Qualifications

• 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.

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

DevOps experience

Cloud engineering

AI coding agent proficiency

Engineering judgment

Tools

Kubernetes

Terraform

CI/CD pipelines

Observability tooling

Cloud platforms (AWS/Azure/GCP)

Job description

Mercor is seeking a DevOps / SRE / Cloud Engineer (Coding Agent Experience) for a remote contract role. You will use frontier AI coding agents to tackle and evaluate infrastructure tasks, review model-generated implementations across cloud platforms, Kubernetes, CI/CD, and observability, and identify bugs and reliability issues in model outputs.

You will compare outputs from multiple frontier models, applying professional engineering judgment to realistic infrastructure scenarios and ensuring