Staff Software Engineer - Fraud

Mercury is a fintech company that focuses on building intelligent systems for business banking. They are seeking a Staff Software Engineer to lead the development of core systems for fraud prevention, ensuring a safe and delightful experience for their clients.

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
• Experience as a technical lead making architectural decisions in the past and seen the impact of those decisions over time
• Ability to clearly articulate technical opinions and lay out tradeoffs
• Passionately product-minded with experience building and shipping new products balancing reliability and velocity
• Comfortable driving discussions in areas with ambiguous ownership, approaching them with empathy, and delighting in getting outcomes
• Ridiculously helpful, taking initiative to make coworkers' lives easier by investing time to mentor and proactively share knowledge and learnings through writings, 1:1s, and team meetings
• Experience in fintech, fraud systems, or the broader risk domain