Software Development Engineer, Fraud Defense Engineering

At Audible we believe stories have the power to transform lives. Its why we work with some of the worlds leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us.

ABOUT THIS ROLE
As a Software Development Engineer on the Fraud Defense Engineering team you will help protect Audibles ecosystem safeguarding creators listeners and customers from fraud and abuse across all global marketplaces. Youll contribute to building intelligent detection systems investigation platforms and automated enforcement capabilities that operate at scale. This is a high-impact role where your technical contributions directly protect the integrity of our business and the trust of millions of customers worldwide. Youll grow rapidly in this role learning to anticipate threats contributing to detection approaches and developing effective solutions alongside experienced engineers. Well support you with the latest technologies tools and systems you need to succeed.

ABOUT THE TEAM
The Fraud Defense Engineering team sits within Audibles inSpire organization. We build the tooling platforms and automated systems that protect the integrity and trustworthiness of Audibles business. Our primary focus areas include:
- Develop and improve investigation and case management tools that empower internal operations teams to enforce fraud policies effectively
- Collaborate cross-functionally with data scientists product managers policy teams and distributed teams across time zones to implement enforcement strategies
- Write clean well-tested code participate actively in code reviews and follow sound engineering practices that balance enforcement speed with customer experience
- Contribute to complex technical initiatives within the fraud defense domain under guidance from senior engineers learning and growing alongside experienced teammates
- Take ownership of components end-to-end while deepening technical understanding through curiosity questions and mentorship from the team

ABOUT YOU
Youre in your element when youre being challenged and youre always eager to share your ideas take on responsibility and keep developing at an exciting pace. You show initiative set your standards high and see every failure as an opportunity to learn. Youre looking for an environment where you can grow contribute meaningfully to technical solutions and develop your skills alongside a talented team.

As a Software Development Engineer you will...
- Contribute to complex technical initiatives within the fraud defense domain under guidance from senior engineers
- Build enhance and operate control systems and automated enforcement pipelines that prevent fraudulent or abusive use of Audible and respond to threats in real time
- Collaborate with data scientists to iterate on detection models and evaluate false positive rates and work with product and policy teams to define enforcement thresholds that balance customer trust with business protection
- Write code participate in code reviews contribute to design discussions and participate in incident response when new fraud vectors are identified supporting rapid mitigation efforts
- Take ownership across the full fraud defense lifecyclefrom signal detection through enforcementgrowing your technical depth alongside the team

ABOUT AUDIBLE
Audible is the leading producer and provider of audio storytelling. We spark listeners imaginations offering immersive cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home.

- Experience using AWS in production environments
- 1 years of professional software development experience including design implementation and deployment of production applications
- Experience building or contributing to data processing systems
- Proficiency in one or more programming languages such as Java Python or Kotlin
- Familiarity with SQL and relational or NoSQL databases
- Familiarity with agentic development and design patterns

- Bachelors degree in computer science or equivalent
- Exposure to Trust & Safety Abuse Prevention Anti-Fraud or Risk Engineering domains
- Familiarity with fraud detection concepts including rule engines anomaly detection or risk scoring
- Exposure to graph-based analysis data pipelines (ETL/ELT) or streaming architectures (Kafka Kinesis)
- Experience with AWS services such as SageMaker PySpark EMR Glue or Step Functions
- Familiarity with privacy-preserving engineering practices including data anonymization or PII handling
- Ability to navigate ambiguous problem spaces and contribute to solving complex technical challenges
- Enthusiasm for promoting high-quality engineering standards across documentation unit testing code reviews test automation continuous integration and deployment
- Experience collaborating across time zones and with geographically distributed teams

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