Software Engineer, Identification

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., * 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., For US-based employees, the cash compensation range for this role is $152,000 - $205,000. We set standard ranges for all US roles based on function, level, and geographic location, benchmarked against similar stage growth companies. To comply with local legislation and provide greater transparency, we share salary ranges on all job postings. However, these ranges are specific to the hiring location and may differ within or outside the US. Offers vary depending on, but not limited to, relevant experience, education, certifications/licenses, skills, training, and market conditions.

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., * 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.
• Hands-on experience running production services with Docker and Kubernetes, and with IaC tools like Terraform or CloudFormation.
• Working fluency with observability tooling (Datadog or comparable) - instrumenting services and building useful dashboards and alerts.
• On-call experience: triaging live incidents, mitigating impact, and writing up what happened.
• Strong SQL, plus experience with databases like DynamoDB, Redis, or Elasticsearch.
• Proficiency with Git, shell scripting, and CI/CD, and fluency in English for a global, remote team.
• Able to work independently in ambiguous environments with direct stakeholder contact, and eager to mentor junior engineers.
• BS/MS in Computer Science or equivalent experience.
• Bonus: analytical storage systems (ClickHouse, Snowflake, BigQuery, Redshift, Databricks), queueing and streaming systems (SQS, Kafka), or performance profiling and cost optimization of high-throughput cloud workloads.
• Bonus: vector databases (Pinecone, Qdrant) in production, ML-adjacent product engineering, concurrent programming, or a strong grasp of internet security and privacy mechanisms.

Tools and Technologies:

• Backend development: Golang
• Infrastructure and delivery: AWS, Terraform, Docker, Kubernetes, CI/CD pipelines.
• Observability: Datadog, metrics/logging/tracing.
• Data analytics/processing: ClickHouse, dbt.

Build and operate highly performant backend systems powering fraud-detection Identification APIs. Design scalable services for real-time processing, own reliability through SLIs, SLOs, observability, on-call response, and incident follow-up, and conduct capacity planning, load testing, and performance tuning. Partner on integrations, automate operational tasks, maintain production services, and mentor engineers in a globally remote environment. The summary above was generated by AI

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).