About the Role
YOU will serve as the technical anchor for the risk engineering effort focused on real time detection and mitigation infrastructure at scale You will translate ambiguous requirements into scalable architectures balancing fraud prevention with user experience You will collaborate with data science ML product and compliance and mentor engineers.
Requirements
- 8+ years of backend software engineering experience with significant experience architecting and developing high throughput low latency production systems at scale
- Deep expertise in backend systems design microservices event driven architectures REST GraphQL APIs with a track record of building systems that meet high availability and correctness requirements
- Proven ability to define and execute multi quarter technical strategies influence engineering direction across teams and translate ambiguous problem spaces into clear actionable technical plans
- Experience architecting solutions for complex high stakes domains where correctness latency and reliability are critical delivering impactful systems that operate at scale
- Demonstrated success raising the technical bar for a team through architectural guidance engineering culture improvements and mentorship of senior engineers with measurable outcomes
- Utilizes generative AI responsibly maintaining human oversight to deliver business ready outputs and drive measurable improvements in workflow efficiency cost and quality
Responsibilities
- Own the end to end technical architecture of the risk platform including real time fraud detection engines risk decisioning systems financial risk monitoring and mitigation infrastructure operating at high throughput with low latency and 24x7 availability
- Shape multi quarter technical strategies for the Risk Platform identifying opportunities to simplify complexity improve reliability reduce fraud losses and scale risk capabilities across new products asset classes and jurisdictions
- Lead the design and implementation of critical risk systems translating ambiguous high stakes business requirements into scalable resilient architectures that balance fraud prevention with user experience
- Partner cross functionally with Data Science ML Product Compliance and senior leadership to define the roadmap and ensure the risk platform evolves ahead of emerging threats and regulatory requirements
- Build AI native risk systems that leverage fleets of agents to automate complex detection and response workflows significantly reducing the need for manual intervention
- Strengthen the team's technical capability through architecture reviews code reviews engineering standards for quality and performance and hands on mentorship of engineers at all levels
Benefits
- equity
- bonus eligibility
- medical insurance
- dental insurance
- vision insurance
- remote work options