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Checkr

Senior Software Engineer (Ruby/Rails), MVR

San Francisco, California, United States; San FranciscoUnited States
Senior · Engineering
POSTED 9 NOVVERIFIED JUST NOW
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Posted 9 Nov
Payats field
$185k–218kposted
▼ −2% vs market median $205k
$176k$229k
Market p25–p75
$182k–$229k
Checkr p25–p75
$202kn=3
H-1B median · Software engineering
$176k
SF Bay Area · n=1042 · 365d to 6 Nov
CompanyCheckr →
37open roles
Opened · 30d
+2
Closed · 30d
−2
3d of snapshots · 30d window
Market
17,056open · Senior Software engineering
Opened · 7d
+9265% of open
All software engineering
75,158open
All tracked boards · live 9 Nov · n=17,056
Visa
7H-1B LCAs · FY26
PERM · FY25
1
Median wage
$235k
LCAs FY26 · n=7 · to 2026-05-12
Ruby/RailsDistributed systems

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.

What you bring

  • Senior Backend Expertise: 5+ years of experience building scalable backend systems, with strong proficiency in at least one modern programming language and a deep understanding of relational databases, ORMs, and RESTful APIs.
  • Distributed Systems Experience: A proven track record of designing and maintaining reliable distributed systems, including hands-on experience with microservices, CI/CD, and asynchronous or event-driven architectures.
  • Systems Thinking: The ability to reason about a platform end to end, weigh architectural trade-offs, and design solutions that hold up as data sources, volume, and product requirements change.
  • Data Integration & Quality: Experience integrating with external data providers or third-party APIs, and building pipelines that handle inconsistent, delayed, or incomplete data with accuracy and resilience.
  • Ownership & Communication: Full-cycle ownership of your work and the ability to communicate technical decisions clearly to both engineering and non-engineering partners.
  • An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes.

Pay Transparency Disclosure

We use geographic cost of labor as an input to develop ranges for our roles and as such, each location where we hire may have a different range. If this role is remote, we have listed the top to the bottom of the possible range, but we will specify the target range for an exact location when you are selected for a recruiting discussion. For more information on our compensation philosophy, see our website.

Source · CheckrFirst seen 9 NovOriginal ↗