Senior Engineer, Identification

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). We are seeking an experienced Senior Software Engineer to help build and operate the end-to-end fraud detection systems behind our Identification APIs. Your primary responsibility will be building highly performant backend systems and keeping them reliable at scale. 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 Go, 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. Responsibilities Design, build, and optimize backend systems for real-time data processing and web services, treating reliability, latency, and cost as first-class constraints. Own SLIs and SLOs for Core API services, using error budgets to balance shipping velocity against stability. Build the observability that makes systems debuggable — metrics, structured logging, distributed tracing, and alerts that fire on user-visible symptoms, not noise. Share an on-call rotation, respond effectively to incidents, and lead blameless postmortems. Schedules are set in advance, with equitable coverage and minimal off-hours disruption. Reduce operational toil through automation, and close out incident action items so the same failure doesn't recur. Run capacity planning, load testing, and performance tuning so the platform scales ahead of demand. Partner with cross-functional teams on integrations, and mentor other engineers as they grow. Qualifications 5+ years in backend development, including meaningful time operating what you built in production. Strong, demonstrated experience with Go, and with scalable APIs, real-time data processing, and microservices.