Software Engineer, Fraud System Interventions

Stripe•South San Francisco, CA

1d•$221,187 - $285,600•Remote

About The Position

Stripe is a financial infrastructure platform used by businesses to accept payments, grow revenue, and pursue new business opportunities. Its mission is to increase the GDP of the internet. The Software Engineer, Fraud System Interventions develops and manages platforms and solutions that reduce financial and regulatory risk while maintaining an excellent user experience. The role diagnoses production issues across services and technology layers, identifies and mitigates emerging risk patterns, and collaborates with engineering, product, policy, legal, operations, and data science stakeholders. The engineer also works with other engineers to build modular, composable fraud-control systems and partners with product teams to understand user pain points and requirements that inform roadmap and prioritization. The position permits 100% telecommuting and is listed at 40 hours per week. Multiple positions are available.

Requirements

Bachelor’s degree or foreign equivalent in Computer Science, Software Engineering, or a related field.
Five years of post-bachelor’s progressive experience in Software Engineering.
Five years of experience with one of the following programming languages: Java, Ruby, Python, or Go.
Five years of experience performing data-driven investigations and analysis to inform decision-making using SQL and visualization software.
Five years of experience working with systems agnostic of programming languages.
Five years of experience translating business requirements into tangible software requirements and system designs.
Five years of experience identifying and resolving production issues spanning multiple services and stack layers.
Three years of experience building platforms and solutions to minimize financial and regulatory risk while maintaining a high-quality user experience.
Three years of experience working within the Trust and Safety industry.

Responsibilities

Develop and manage platforms and solutions to minimize financial and regulatory risk while maintaining an excellent user experience.
Diagnose and resolve production issues across services and throughout the technology stack.
Proactively identify, analyze, and swiftly mitigate emerging risk patterns.
Partner with engineering, product, policy, legal, operations, and data science stakeholders.
Collaborate with other engineers to build modular, composable fraud-control systems.
Work with product teams to understand user pain points and requirements and inform roadmap and prioritization.