New · Job Board MCP
Connect Claude, Codex, Copilot, Cursor, or Windsurf to InterviewStack. It finds roles that genuinely fit your resume and saves the best ones to your tracker, running free on a local open model, with your resume never leaving your machine.
Every posting is de-duped, the real hiring company identified, and salary, location, work mode and seniority normalized, then mapped to 80+ defined roles. Your AI filters clean, classified data, not keyword noise.
Run the matching on a local open model (Ollama + Qwen, Llama): no API keys, no per-token bills, and your resume stays on your machine. Or use the assistant you already pay for.
Set it once: every morning your assistant finds fresh matches and saves the best to your applications, each with a concrete note on why it fits. You review and apply.
In this role, you will design statistical and machine learning tools, influencing engineering priorities and roadmaps in key areas like software rollouts and change management. You will have a direct impact on Google Cloud Platform reliability, gaining deep knowledge of relevant engineering infrastructure and data assets to solve complex issues.
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.This job is found at InterviewStack.io
