Data Infrastructure Engineer

Overview

Self-driving companies record every mile a car drives. Nobody records how it gets fixed. Repair expertise lives in technicians' heads: undocumented, unstructured, and disappearing as their shortage grows.

Bayworks captures voice and video data as technicians repair cars and verifies the work. Every repair becomes ground truth for how cars get fixed: symptom, diagnosis, fix, outcome. This compounds into a system that runs the dealership's operations and standardizes every repair, making it faster and compliant with manufacturer specifications.

Why now

In 110 days, we've gone from 0 to 80+ dealerships covering 4,000 cars a day, including a top-50 US dealer group ($3B+ annual revenue) and have hit $XMn ARR. We know what's working.

Now we need to get to 1000 rooftops / $10M ARR. To get there we need someone to own our data infrastructure: the pipelines that carry every repair from the service bay to ground truth, across every dealership we add. The data is there; you build the system it runs on.

World-class team

We're engineers from BITS Pilani.

Kaustubh (Founder & CEO) built voice AI at Sarvam (India's frontier AI lab) deployed across government and public enterprises, and before that worked in automotive retail lending with carmakers. Shubham (Founder & CTO) built the underwriting engine at Navi, a $2B fintech, powering $10M+ in loans every day, and the mobile app at Scapia, which scaled to millions of users.

Investors

Backed by Y Combinator (F26)

What you'll work on

Build the pipelines that ingest voice, video and dealership data from every repair and turn it into structured, queryable ground truth. This is a hands-on role; what you build ships to production Own the integrations with dealership management systems, so data flows reliably in both directions as we add rooftops Design storage for large volumes of audio and video, with the metadata, versioning and access controls that make it usable for training and evals Build the monitoring and data quality checks that tell us something broke before a dealer does Scale the platform from 80+ dealerships to 1000 rooftops without it falling over

You can be a great fit if

You've built and run data pipelines or platforms in production, not just prototypes You're comfortable with messy real-world data: large audio and video files, inconsistent dealership records, systems that were never built to talk to each other You're strong in Python and SQL, and have worked with Postgres, object storage and cloud infrastructure You move fast and don't overthink You care whether the system holds up when every service bay is busy, not just in staging You want to be at a company that's early enough that your work actually matters

Compensation

This role includes: 160K - 200K base salary Meaningful equity Medical, dental, and vision insurance Free DoorDash vouchers for everyday meals

About the interview

1. 30 mins with the founders 2. Assignment: a short system design exercise on how repair data flows from the service bay into our platform 3. Offer