Senior Software Engineer, Identification - Fingerprint

About Fingerprint

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 turn new discoveries in fraud detection 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 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, Nexus Venture Partners, and Uncorrelated Ventures.

About the Role

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 will write services and 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 will design and implement scalable, high-performance backend systems, maintain their SLOs, and take ownership of features from concept through deployment and steady-state operation.

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 observability (metrics, structured logging, distributed tracing, and alerts) that makes systems debuggable and alerts on user-visible symptoms rather than noise.
• Share an on-call rotation, respond effectively to incidents, and lead blameless postmortems with equitable coverage.
• Reduce operational toil through automation and close out incident action items.
• 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.

Qualifications

• 5+ years in backend development, including hands-on experience operating production systems.
• Strong, demonstrated experience with Go, scalable APIs, real-time data processing, and microservices.
• Hands-on experience running production services with Docker, Kubernetes, and IaC tools like Terraform or CloudFormation.
• Working fluency with observability tooling (Datadog or comparable) for instrumenting services and building dashboards/alerts.
• On-call experience triaging live incidents, mitigating impact, and writing incident reports.
• Strong SQL proficiency alongside experience with databases like DynamoDB, Redis, or Elasticsearch.
• Proficiency with Git, shell scripting, and CI/CD pipelines.
• Fluency in English and ability to work independently in an ambiguous, global remote environment.
• BS/MS in Computer Science or equivalent experience.

Nice to Have

• Experience with analytical storage systems (ClickHouse, Snowflake, BigQuery, Redshift, Databricks) or streaming systems (SQS, Kafka).
• Performance profiling and cost optimization of high-throughput cloud workloads.
• Production experience with vector databases (Pinecone, Qdrant), ML-adjacent product engineering, or internet security/privacy mechanisms.

Tools and Technologies

• Backend Development: Go
• Infrastructure & Delivery: AWS, Terraform, Docker, Kubernetes, CI/CD pipelines
• Observability: Datadog, metrics/logging/tracing
• Data Analytics & Processing: ClickHouse, dbt

Compensation & Transparency

For US-based employees, the cash compensation range for this role is $152,000 – $205,000. Offers vary depending on relevant experience, education, certifications, skills, training, and market conditions. Salary ranges are specific to hiring location and may differ outside the US.