Software Development Engineer, Fraud Defense Engineering

Audible; Ciudad de México; Presencial; MXN 420.000 - 600.000; Jornada completa

Descripción de la vacante

Audible is seeking a Software Development Engineer on the Fraud Defense Engineering team to help protect Audible's ecosystem from fraud and abuse across global marketplaces. You'll contribute to building intelligent detection systems, investigation platforms, and automated enforcement capabilities that operate at scale.

You'll grow rapidly in this role—learning to anticipate threats, contributing to detection approaches, and developing effective solutions alongside experienced engineers.

Formación

• 1+ years of professional software development experience.
• Experience using AWS in production environments.
• Experience building or contributing to data processing systems.
• Proficiency in Java, Python, or Kotlin.
• Familiarity with SQL and relational or NoSQL databases.
• Familiarity with design patterns in software development.

Responsabilidades

• 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.
• 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.
• Write code, participate in code reviews, contribute to design discussions, and participate in incident response when new fraud vectors are identified.
• Take ownership across the full fraud defense lifecycle—from signal detection through enforcement—growing your technical depth alongside the team.

Conocimientos

AWS

Java

Python

Kotlin

SQL

NoSQL

Data processing

Software development

Descripción del empleo

At Audible, we believe stories have the power to transform lives. It's why we work with some of the world's 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 Audible's ecosystem — safeguarding creators, listeners, and customers from fraud and abuse across all global marketplaces. You'll 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. You'll grow rapidly in this role — learning to anticipate threats, contributing to detection approaches, and developing effective solutions alongside experienced engineers. We'll support you with the latest technologies, tools, and systems you need to succeed.

ABOUT THE TEAM

The Fraud Defense Engineering team sits within Audible's inSpire organization. We build the tooling, platforms, and automated systems that protect the integrity and trustworthiness of Audible's business.

• 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

You're in your element when you're being challenged, and you're 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. You're 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 lifecycle—from signal detection through enforcement—growing 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