About the role
About Checkr
Checkr is building the data platform to power safe and fair decisions. Over 140,000 companies and millions of people rely on Checkr for AI verification in the moments that matter most: getting a new job, a new place to live, a car ride, childcare, even a date. Customers include Uber, Pennymac, Airbnb, Doordash, and Anthropic.
We’re a team that thrives on solving complex problems with innovative solutions that advance our mission. Checkr is recognized on Forbes Cloud 100 2025 List and is a Y Combinator 2024 Breakthrough Company.
About the team/role
As a Senior Software Engineer on the MVR team, reporting to the Engineering Manager, you will build and evolve the systems that power Checkr's motor vehicle record screenings, helping customers make safe, fair, and fast decisions about the drivers on their platforms. You will lead the design and execution of reliable, scalable services across the MVR lifecycle, from how records are ordered and retrieved from data sources to how they are processed, normalized, and delivered in customer reports. You will partner closely with Product, Supply Chain Operations, Product, and Business Operations to shape the platform's long-term architecture and ensure MVR screenings scale alongside Checkr's growth.
What you’ll do
- End-to-End Ownership: Lead the development lifecycle for complex MVR features, from ideation and technical design through implementation, release, and ongoing operation.
- System-Level Strategy: Define and drive the technical direction for MVR systems, identifying architectural improvements that increase reliability, reduce turnaround time, and make the platform easier to extend.
- Cross-Functional Partnership: Partner with Data Supply Chain, Supply Chain Operations, Product, and Operations to translate data provider realities and customer needs into scalable technical solutions.
- Engineering Excellence: Design, build, and maintain high-performance services that meet the highest standards for data accuracy, security, and compliance.
- Operational Reliability: Proactively identify systemic risks across MVR data flows, lead incident response and root-cause analysis, and drive durable fixes that prevent recurrence.
- Technical Leadership: Mentor engineers on the team and across the organization, raising the bar on code quality, design reviews, and engineering practices.
- AI-First Mindset: Embrace an engineering culture where AI tooling is standard practice, leveraging the latest AI-assisted tools, models, and assistants to amplify your impact.