Quadrivia AI

QA Automation Engineer

• Hunt down high-leverage processes. Talk to people across the company, find the manual, repetitive, error-prone work, and rank it by what's genuinely worth automating.
• Pull a workflow out of someone's head and specify it. Most of the job is turning a vague "this is just how we do it" into something precise enough to automate.
• Build the automation. Python and API glue, MCP servers and clients, Claude Skills, agent workflows, and small services where they're needed.
• Instrument what you ship so it doesn't rot silently. Logs, alerts when something breaks, and a way to know whether the automation is still doing its job.
• Drive adoption. Get non-technical teams to trust and use what you've built, train them, and stay close after launch so it sticks.
• Know when to escalate. When an automation needs to become real platform, hand it to the backend team instead of bolting on. Knowing where that line sits is part of the job.

AI Automation Engineer