Fingerprint is seeking a Senior Software Engineer to join their Identification team to focus on developing, maintaining, and scaling backend services that power their fraud detection solutions. The primary responsibility will be building highly performant backend systems and infrastructure that handle large-scale real-time data processing to combat online fraud.
Requirements
- 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.
- Experience working specifically with GoLang
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.
- This role includes participation in a shared on-call rotation.
Other
- BS/MS in Computer Science, Data Science, or a related field, or equivalent work experience.
- 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.
- Fingerprint teammates need to be authorized to work from their home location.
- We do not sponsor visas.
