Inside RankGrad: screening 500 grads a month
How we engineered an automated AI-assisted technical screening and grading platform built to process hundreds of high-caliber engineering candidates.
DevZyxScreening 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.
Ephemeral Code Execution Sandbox
Runs submitted solutions against hidden unit tests inside memory-isolated sandboxes with zero network access to prevent malicious payloads.
Custom software, engineered without shortcuts.
Our engineering team builds web, mobile, and custom digital platforms for founders who value speed and architectural precision.
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