AI-Driven DevOps Engineer & Model Evaluator

Obsidian; San Francisco (CA); On-site; USD 551,040 - 826,560; Part time

Job summary

Obsidian is seeking contributors for an innovative Frontier Code Agents project that evaluates and improves AI coding models. The role requires 2+ years of experience in DevOps, SRE, or Cloud Engineering and proficiency with cloud platforms like AWS, Azure, and GCP.

You will utilize AI coding agents to handle complex engineering tasks and assess their outputs across multiple models. The compensation is $400 per accepted task, making this a great opportunity for professionals to apply their skills in real-world scenarios.

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.

Responsibilities

• Use frontier AI coding agents to complete and evaluate complex infrastructure engineering tasks.
• 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.

Skills

DevOps

Cloud Engineering

Kubernetes

CI/CD pipelines

Observability tooling

Tools

AWS

Azure

GCP

Terraform

Cursor

Claude Code

Codex

Windsurf

Gemini CLI

Job description

Obsidian is seeking contributors for an innovative Frontier Code Agents project that evaluates and improves AI coding models. The role requires 2+ years of experience in DevOps, SRE, or Cloud Engineering and proficiency with cloud platforms like AWS, Azure, and GCP.

You will utilize AI coding agents to handle complex engineering tasks and assess their outputs across multiple models. The compensation is $400 per accepted task, making this a great opportunity for professionals to apply their skills in real-world scenarios.