About Sign3
Sign3 is an AI-first customer intelligence platform powering fraud prevention, risk scoring, and smarter onboarding decisions for leading FinTechs, banks, and digital businesses. Our flagship SDK and APIs analyze device, behavioral, and digital footprint signals to help clients detect synthetic identities, money mule accounts, and other fraud vectorsâin real time. We work with top-tier players across credit cards, lending, gaming, and neo-banking, helping them unlock trusted growth at scale. Our systems process millions of risk events per day, with millisecond-level performance and precision. At Sign3, youâll get to build in a fast-paced, impact-focused environment alongside a lean, high-ownership team.
The Role
We are looking for a Senior Software Engineer to design and build the scalable, low-latency backend systems that power Sign3's fraud detection and customer intelligence platform. You will own significant parts of our architecture, drive technical decisions, and mentor engineers while solving real problems in real-time risk analysis, large-scale data processing, and intelligent decisioning.
What You'll Do
⢠Design and build distributed backend systems that handle millions of events per day with millisecond latency
⢠Architect services for device intelligence, behavioral analytics, and real-time risk scoring
⢠Drive system design discussions and set technical direction across services
⢠Optimize for scalability, reliability, observability, and cost efficiency
⢠Build robust pipelines for ingesting, processing, and analyzing risk and behavioral data
⢠Improve platform resiliency through better monitoring, alerting, and incident response
⢠Mentor engineers and contribute to engineering standards and best practices
What We're Looking For
⢠4 to 7 years of experience in backend software development
⢠Strong expertise in Java or Python, system design, and distributed systems
⢠Deep understanding of concurrency, performance tuning, and fault-tolerant architectures
⢠Hands-on experience with REST APIs, event-driven systems, and microservices
⢠Working knowledge of relational and NoSQL databases such as PostgreSQL, MongoDB, Redis, or
Cassandra
⢠Experience with messaging and streaming systems like Kafka or RabbitMQ
⢠Familiarity with AWS or GCP and containerized deployments
⢠Exposure to fraud detection, risk engines, or behavioral analytics platforms is a plus
What We Offer
⢠Competitive compensation and meaningful equity
⢠High-ownership role in a fast-growing AI startup
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