Staff Software Engineer - Identity & Risk Intelligence
Core
Designing and scaling low-latency, reliable systems that integrate Machine Learning models to detect and mitigate financial crime and fraud at massive global scale.
Role type
Staff Software Engineer (Identity & Risk Intelligence)
Builds
Production risk management systems and fraud detection pipelines for a global payments platform
Domain
Fintech / Financial Crime & Fraud
Deliverable
production ML models
Required skills
System design, architecture, Java, SQL, NoSQL, incident management, streaming & queuing frameworks, big data tools (Spark), distributed data architectures
Preferred skills
Python, data engineering concepts, product sense, translating research into applications
Technologies
Java, Python, Postgres, Cassandra, Kafka, RabbitMQ, Spark
Responsibilities
Design and develop robust, scalable software systems integrating ML models; Collaborate with product managers and data scientists to translate business problems into technical solutions; Evaluate and drive adoption of new technologies and frameworks; Mentor junior engineers and peers; Advocate for best practices in software engineering and system architecture; Lead technical design discussions and contribute to the technology roadmap
Seniority
Staff, hands-on IC with technical leadership