Senior Software Engineer, Trust

About the team/role

Checkr Trust is building safer communities by providing our customers with risk signals about its users. Every year, our team provides insights on tens of millions of users across multiple verticals: online dating, car rental, short-term rentals, and many more. We acquire, analyze, and deliver insights in smart, scalable ways that help organizations identify and mitigate risk.

Trust is part of the Checkr start-up lab: we operate with the speed of a small startup, while enjoying the leverage and resources of a known technology brand.

Since launching, we’ve seen significant growth and we are looking for a Senior Full Stack Software Engineer to play a pivotal role in the continued growth of our startup. As part of our small team, you will be empowered to take significant end-to-end ownership - from idea to execution to real customer and business impact.

What you’ll do:

• Work closely with customers, engineers, and leaders to design, build, and launch new products.
• Take full ownership of the entire process of developing end-to-end applications – from shaping the idea to delivering the finished application.
• Embrace a customer-centric, product-first approach – partner directly with customer success, customers and stakeholders to better understand their needs and turn those into useful features.
• Keep code reliable and easy to maintain with solid testing, thoughtful reviews, and good practices.
• Run and measure product experiments, using what you learn to guide future development.
• Building scalable APIs and asynchronous event-based architecture that can reliably handle very high traffic, including integrating with third-party services to expand what our products can do.

What you bring:

• BS/MS degree in either computer science or an engineering discipline.
• Have founded or held early roles at successful fast-paced startups.
• 5+ years of full stack software development experience.
• Advanced knowledge in Ruby (Rails), Javascript (React), or similar languages/frameworks.
• Comfortability working with AI tools day-to-day, and the ability to build simple AI-powered tools or workflows that boost team or org productivity.
• Experimentation mindset: autonomy and empowerment to validate a customer need, get team buy-in, and ship a rapid MVP.
• Early-stage approach: comfort with ambiguity, balancing speed and perfection, and the confidence and curiosity to help guide product direction.
• 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.

Nice to have:

• Experience building scalable technical architecture that can scale to 10mm+ users (including observability tooling, container orchestration, etc).
  Background in trust & safety, IDV, background check products or criminal data.
• Expertise in data analysis and processing.
• Experience building and working with scrapers and scraping technology