Fingerprint · 1 day ago
Backend Software Engineer
United States
Full-time
Remote
Senior Level
5+ years expFingerprint empowers developers to stop online fraud at the source, focusing on innovative fraud detection solutions. They are seeking a Senior Software Engineer to develop and maintain backend services that handle large-scale real-time data processing, ensuring reliable and efficient systems.
Cyber SecurityFraud DetectionSoftware
No H1B
Responsibilities
Design, develop, and optimize backend systems for real-time data processing and web services
Build scalable APIs and backend infrastructure that support millions of requests per day
Work with cross-functional teams to integrate backend components with other services, ensuring performance and scalability
Collaborate with the product and engineering teams to improve fraud detection signals
Conduct debugging, and testing of backend systems to ensure reliability and efficiency
Drive best practices for backend development and architecture, fostering a culture of continuous improvement
Participate in a shared on-call rotation
Qualification
Required
BS/MS in Computer Science, Data Science, or a related field, or equivalent work experience
5+ years of experience in backend development, preferably with exposure to data science
Extensive experience using large-scale databases like DynamoDB, ScyllaDB, Cassandra, or HBase
Experience with AWS container technologies like ECS/Fargate
Experience designing and maintaining scalable public APIs
Strong knowledge of SQL and experience with databases like DynamoDB, Redis, or Elasticsearch
Proficiency with general software engineering tools: Git, IDEs, shell scripting, CI/CD
Ability to thrive in ambiguous environments where you get to work directly with stakeholders with minimal guidance and direction
Proficient in English for clear communication in a global, remote team
Preferred
Experience working specifically with Golang
Previous Experience with queueing and streaming systems (SQS, Kafka)
Machine learning knowledge may be a plus: Familiarity with supervised and unsupervised learning methods
Experience working with machine learning pipelines, model deployment, and performance monitoring
Understanding of core ML concepts such as feature engineering, model evaluation, and real-time inference
Company
Fingerprint
The highest accuracy device identity platform for high-scale applications
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$77MKey Investors
Craft VenturesNexus Venture Partners
2023-10-17Series C· $33M
2021-11-03Series B· $32M
2021-02-11Series A· $8M
Leadership Team
Dan Pinto
Co-Founder & CEO
Recent News
Business Wire
2025-12-09
Media Outreach
2025-11-27
Company data provided by crunchbase