Senior Backend Engineer, Core APIs (SRE Focus)

Fingerprint empowers enterprises to detect and stop online fraud with the world’s most accurate device intelligence. We lead our industry with bleeding-edge identification capabilities and work on turning new ideas and discoveries in the fraud detection space into reality. Our customers range from innovative startups to leading enterprise companies, including Plaid, Dropbox, and Booking.com. Fingerprint is a globally dispersed, 100% remote company. We were named on on the 2026 Forbes Best Startup Employers list and ranked #803 on the 2026 Inc. 5000 list of America’s fastest-growing private companies. We have raised $77M and are backed by Craft Ventures (Tesla, Facebook, Airbnb ), Nexus Venture Partners ( Postman, Apollo.io, MinIO, Druva) and Uncorrelated Ventures ( Redis, Rollbar, Gradle). Senior Backend Engineer, Core APIs (SRE Focus) We are seeking an experienced Senior Software Engineer to help build and operate the end-to-end fraud detection systems behind our Core APIs. Your primary responsibility will be building highly performant backend systems and keeping them reliable at scale. This is a hybrid backend/SRE role: you'll write the services and you'll own how they behave in production. This role requires strong experience in backend software development, particularly API development and scaling existing systems in both Go and Node.js, paired with a genuine interest in reliability engineering. You'll design and implement scalable, high-performance backend systems, maintain their SLOs, and take ownership of features from concept through deployment and steady-state operation. A key aspect of this role involves a deep understanding of scaling and operating distributed systems, allowing us to multiply our capacity safely and efficiently as our user base continues to grow rapidly. What you'll do: Design, develop, and optimize backend systems for real-time data processing and web services, with reliability, latency, and cost as first-class design constraints. Define and own SLIs and SLOs for Core API services, and use error budgets to make concrete tradeoffs between shipping velocity and stability. Build and maintain the observability that makes these systems debuggable: Meaningful metrics, structured logging, distributed tracing, and alerts that fire on user-visible symptoms rather than noise. Participate in a shared on-call rotation, act as an effective responder during incidents, and lead blameless postmortems. The schedule will be communicated in advance, and we strive to balance coverage equitably while minimizing off-hours disruptions. Drive down operational toil by automating recurring manual work, and close the loop on incident action items so the same failure doesn't happen twice. Conduct capacity planning, load testing, and performance tuning to ensure the platform scales ahead of demand. Conduct deep dives into problematic features, researching and analyzing their behavior to understand root causes and identify potential solutions.