Automated asynchronous video interviewing has become a common early-stage recruitment tool, but existing solutions are almost exclusively delivered as paid, proprietary software-as-a-service platforms, creating a cost and integration barrier for individual recruiters, small organizations, and academic institutions. This paper presents the design and implementation of a video interview recording system built entirely from freely available, standards-based browser APIs and a serverless scripting platform, requiring no paid infrastructure, no traditional backend server, and no database. The client captures a continuous audio-video recording across a sequence of timed, operator-defined questions using the W3C MediaStream Recording API, and transmits the result to a serverless integration layer via a custom chunked-upload protocol designed to remove the request-payload ceilings typical of serverless platforms. The integration layer, implemented in Google Apps Script, executes under the operator’s own cloud identity, allowing candidates to submit recordings without a Google sign-in of their own while ensuring recordings are persisted directly to the operator’s Google Drive. We describe the system architecture, the chunked-transport protocol and its rationale, the access-control model, and a set of controlled technical micro-benchmarks characterizing encoding overhead and payload scaling. We further report on an iterative, real-world debugging process that surfaced two non-obvious browser/platform interoperability failure modes, both resolved and documented here to inform future implementers. We conclude by identifying the system’s limitations — principally the absence of a controlled multi-participant usability study — and outline the empirical evaluation required to substantiate broader claims of practical utility.