> Markdown version of [/jobs/ext/4518191-software-engineer-fraud-system-interventions](https://www.wearedevelopers.com/jobs/ext/4518191-software-engineer-fraud-system-interventions). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, Fraud System Interventions - **Company:** Stripe, Inc. - **Location:** South San Francisco, CA, United States (Remote available) - **Experience:** Experienced - **Salary:** $221,187.0 - $285,600.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Fraud Prevention and Detection, Python (Programming Language), Ruby, Software Engineering, Software Requirements Analysis, SQL Databases, Information Technology, Data Analytics, Programming Languages - **Published:** November 1, 2026 - **Apply:** https://www.dice.com/job-detail/9f7b57c7-7416-423d-a7bd-815b6f42bf91 ## About the Role Must have a Bachelor's Degree or foreign equivalent in Computer Science, Software Engineering, or a related field, plus five (5) years of post-bachelors, progressive experience in Software Engineering. Must also have five (5) years of experience in each of the following: * One of the following programming languages: Java, Ruby, Python or Go; * Performing data-driven investigations and analysis to inform decision-making using SQL and visualization software; * Working with systems agnostic of programming languages; * Translating business requirements into tangible software requirements and system designs; and * Identifying and resolving production issues that span multiple services and stack layers. Must also have three (3) years of experience in each of the following: * Building platforms and solutions to minimize financial and regulatory risk while maintaining high quality user experience; and * Working within the Trust and Safety industry. ## Description * Develop and manage platforms and solutions to minimize financial and regulatory risk while maintaining excellent user experience. * Diagnose and resolve production issues across various services and throughout the tech stack. * Proactively identify, analyze, and swiftly mitigate emerging risk patterns. * Partner with diverse stakeholders, which include: engineering, product, policy, legal, operations, and data science teams. * Collaborate with other engineers to build modular, composable Fraud control systems. * Interact with the product teams to understand user pain points and requirements to inform roadmap and prioritization. Who you are