Senior Software Engineer: Fraud Defense & Real-Time Risk

Audible; Ciudad de México; Presencial; MXN 2.042.000 - 3.062.000; Jornada completa

Descripción de la vacante

Audible is seeking a Senior Software Development Engineer for the Fraud Defense Engineering team. You will lead complex initiatives, design scalable fraud detection systems, and architect data processing pipelines to protect creators, listeners, and customers worldwide.

You will collaborate with data scientists, product managers, and policy teams to enforce strategies, mentor peers, and drive engineering best practices, ensuring reliable operation across global marketplaces.

Formación

• Bachelor's degree in computer science, computer engineering, or related field.
• 3+ years of designing and developing large-scale software applications or services.
• Experience with distributed systems and real-time data processing is preferred.
• Proficiency in one or more programming languages such as Java, Python, or Kotlin.

Responsabilidades

• Independently lead complex technical initiatives within the fraud defense domain.
• Design and build scalable fraud detection systems, including rule engines and ML-based anomaly detection.
• Architect real-time and batch data processing systems to aggregate fraud signals across marketplaces.
• Adapt and build investigation and case management tools for internal teams.
• Partner with data scientists, product managers, and policy teams to define enforcement strategies.
• Mentor and support other developers by fostering curiosity and deep technical understanding.
• Write technical design documents and drive alignment across teams.
• Collaborate across time zones with distributed teams.

Conocimientos

C#

C++

Java

Perl

Python

Kotlin

Educación

Bachelor's degree in computer science or related field

Herramientas

AWS Lambda

DynamoDB

SQS

Kinesis

S3

Step Functions

Descripción del empleo

Audible is seeking a Senior Software Development Engineer for the Fraud Defense Engineering team. You will lead complex initiatives, design scalable fraud detection systems, and architect data processing pipelines to protect creators, listeners, and customers worldwide.

You will collaborate with data scientists, product managers, and policy teams to enforce strategies, mentor peers, and drive engineering best practices, ensuring reliable operation across global marketplaces.