Tech Lead - Fraud Prevention Platform at xsolla

<div> <div><strong>ABOUT YOU</strong></div> <div>&nbsp;</div> <div>We are looking for a strong technology leader for our fraud detection and prevention platform to drive the technical direction, architecture, and delivery. This role requires deep fintech and payments experience, strong understanding of payments fraud, chargeback and utilizing modern technologies such as AI and ML, and the ability to lead engineers building high-throughput, low-latency, decision-critical systems.</div> <div>&nbsp;</div> <div>You will work closely with Product management, Data Science team and fraud detection operations teams to design and evolve fraud detection, prevention, and investigation capabilities at global scale.</div> <div>&nbsp;</div> <div><strong>ABOUT US</strong></div> <div>&nbsp;</div> <div>Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.</div> <div>For more information, visit <a href="[Upgrade to PRO to see link]">xsolla.com</a>.</div> </div> Responsibilities: • Own the continued expansion of Xsolla’s real time fraud detection and prevention platform. • Lead architectural decisions around expansion of capabilities including deploying new ML models to make the platform robust and reduce risk to our customers. • Ensure systems meet performance, reliability, security, and compliance requirements. • Translate fraud and risk requirements into robust technical solutions. • Partner with Risk, Payments, and Compliance teams to continue to grow and expand the fraud detection and prevention platform. • Continue to evaluate new technologies, solutions around the globe to evolve fraud prevention strategies. • Lead a team of engineers (directly or as a technical lead across squads). • Drive best practices in: Code quality and reviews, System observability and alerting, Secure development, Incident response and root cause analysis • Balance speed, risk, and quality in a high-impact domain. • Work cross-functionally with Product Managers, Data Scientists, and Operations. • Mentor senior and mid-level engineers in both technical depth and domain expertise. • Act as a technical escalation point for complex fraud-related incidents. Qualifications & Skills: • 8+ years of professional software engineering experience, with significant time in fintech or payments. • Proven experience designing or leading Fraud detection and prevention services • Strong backend engineering skills (e.g., Go Lang, Java, or similar).Experience building high-volume, low-latency distributed systems. • Deep understanding of event-driven architectures, APIs and integrations, Data stores used for real-time decisioning • Excellent knowledge of AI and ML specially its application to fraud detection and prevention • Hands-on experience with fraud prevention in the global payments area • Experience working with data science or ML-driven fraud models. • Knowledge of AML, KYC, or regulatory frameworks. • Prior experience in global payment platforms or PSPs. • Experience operating systems at global scale (multiple regions, currencies, and regulations). We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.