Staff Software Engineer - Fraud
Leads architecture and delivery of backend systems for fraud prevention, partnering with ML teams to productionize models and enable real-time decisioning. Requires 7+ years backend experience, ideally with Haskell, and strong technical leadership in fintech/risk domains.
About the job
Responsibilities
- Lead the architecture, implementation, and long-term roadmap for core systems which support multiple fraud prevention use cases.
- Own the end-to-end delivery of large cross-function projects, translating ambiguous high impact problems into strategy and execution, make pragmatic tradeoffs, and drive teams to measurable outcomes.
- Design, build, and operate highly available, low-latency, backend systems that enable real-time scoring and decisioning for fraud prevention.
- Partner with Data Science and ML teams to productionize models, build reliable ML data pipelines, and enable real-time model serving.
- Establish and elevate department level best practices, review designs, drive engineering quality, and act as a trusted advisor on architectural tradeoffs.
- Mentor and grow engineers, documenting learnings and sharing technical direction through writing, 1:1s, and team meetings.
- Navigate and influence multiple stakeholders, help align teams, communicate tradeoffs to technical and non-technical partners, and independently resolve cross team issues.
Requirements
- 7-10+ years of software development experience, with a strong focus on the backend, with a knowledge of or excitement to learn Haskell.
- Experienced technical lead making architectural decisions in the past and seen the impact of those decisions over time. Able to clearly articulate technical opinions and lay out tradeoffs.
- Passionately product-minded and has experience building and shipping new products balancing reliability and velocity.
- Comfortable driving discussions in areas with ambiguous ownership, approaches them with empathy, and delights in getting outcomes.
- Ridiculously helpful, taking initiative to make coworkers’ lives easier by investing time to mentor and proactively share knowledge and learnings.
- Experience in fintech, fraud systems, or the broader risk domain is a strong plus.
Skills
Haskell, Backend Development, Machine Learning, Data Pipelines, Real-Time Systems, Fraud Detection, Fintech, Architecture Design, Ml Model Serving
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