Inside RankGrad: screening 500 grads a month

Screening early-career software engineering candidates at scale is notoriously difficult. Standard resumes reveal very little about actual coding capability, and conducting hundreds of live 1-on-1 technical interviews burns hundreds of hours of senior engineering bandwidth.

RankGrad partnered with DevZyx to build a bespoke AI-assisted assessment platform that automatically evaluates code submissions, checks for architectural clarity, and generates comprehensive recruiter scorecards.

Building a Secure, Sandboxed Code Execution Pipeline

To safely evaluate untrusted candidate code submitted across Python, TypeScript, and Go, we deployed ephemeral Docker container sandboxes orchestrated via AWS ECS. Each submission runs isolated against rigorous unit test suites with strict 3-second CPU execution timeouts, preventing malicious infinite loops or resource exhaustion.