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Description

Are you passionate about building systems that protect millions of customers and developers? Join the Appstore Commerce Fraud & Abuse Prevention team as a Software Development Manager, where you'll lead the charge in safeguarding Amazon Appstore's digital commerce business.

In this role, you'll lead a team of talented engineers developing and maintaining sophisticated fraud detection and prevention mechanisms that minimize losses for both our third-party developer partners and Amazon. Your team's work operates at multiple critical layers—from developer account verification to real-time transaction monitoring and refund abuse prevention—directly impacting the integrity and trustworthiness of the Amazon Appstore.

You'll architect and scale multi-tier systems that process millions of transactions, using advanced detection algorithms and machine learning to identify and prevent fraudulent activities before they impact our customers and partners. This is a high-impact role where your technical leadership will directly reduce bad-debt, protect legitimate developers, and ensure customers have a safe, trusted shopping experience.

If you're excited about solving complex technical challenges at scale, building systems that matter, and leading teams that make a real difference in protecting digital commerce, we want to hear from you.


Key job responsibilities
Lead and manage a team of software engineers building scalable fraud detection and prevention systems that protect the Amazon Appstore ecosystem from fraudulent activities and abuse

Design, architect, and deliver multi-tier services that detect and prevent fraud at developer account level, transaction level, and refund level, directly minimizing bad-debt for Amazon and partner developers

Drive technical strategy and roadmap for fraud prevention capabilities, balancing short-term operational needs with long-term architectural vision

Partner with product managers, data scientists, and business stakeholders to define requirements and prioritize fraud prevention initiatives based on risk and business impact

Establish and enforce engineering best practices across the full development lifecycle, including code reviews, testing strategies, deployment processes, and operational excellence

Own the operational health of fraud detection systems, ensuring high availability, low latency, and accurate detection rates while minimizing false positives

Recruit, hire, mentor, and develop engineers, fostering a culture of innovation, ownership, and technical excellence

Communicate technical designs, system performance metrics, and strategic recommendations to senior leadership and cross-functional partners

Continuously analyze fraud patterns and trends to evolve detection mechanisms and stay ahead of emerging threats