Principal Software Engineer

What you'll do

• Define and drive the multi-year technical vision and architecture for the Fintech Risk Platform.
• Architect systems capable of supporting over $1 trillion in annual money movement with high availability and security.
• Establish a roadmap for risk intelligence using AI, ML, and GenAI for proactive fraud prevention.
• Lead the design of end-to-end risk decisioning systems for transaction processing, identity, and compliance.
• Build resilient, fault-tolerant distributed systems that handle billions of transactions with sub-second latency.
• Integrate advanced ML models into production workflows for fraud detection and explainable AI.
• Own and optimize key business metrics including fraud loss rates, false positives, and customer approval rates.
• Act as a technical authority to mentor senior engineers and influence engineering practices across the organization.

What we're looking for

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
• 12+ years of experience building and scaling complex distributed systems with a track record of technical leadership.
• Proven experience architecting large-scale financial systems, payment platforms, or risk and fraud systems.
• Deep expertise in backend systems using Java, Spring Boot, or equivalent, and frontend technologies like React.
• Expertise in cloud platforms (AWS preferred) and distributed architectures.
• Strong experience with production AI/ML systems, including real-time decisioning and model integration.
• Proficiency in data technologies including Python, SQL, data pipelines, and streaming frameworks.
• Demonstrated ability to design systems operating at extreme scale with low-latency decisioning for billions of transactions.