Software Development Engineer - AI Voice Platform

Audible

Cambridge (MA)

Presencial

USD 120.000 - 180.000

Jornada completa

Hace 2 días
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Descripción de la vacante

Audible is seeking a Software Development Engineer to define, design, and refine the tech behind our audio platform. You will build and maintain the world's largest audiobook creator and provider, collaborating with a skilled team to deliver reliable software for millions of listeners.

You will solve problems with a strong foundation in computer science, write clean code, and contribute to the interview process and mentorship of peers.

Formación

  • 1+ years of non-internship professional software development experience.
  • Experience programming with at least one software programming language.

Responsabilidades

  • Develop, test, and maintain software components and applications for Audible.
  • Identify and resolve software defects through code review, log analysis, metrics examination, debugging, and other troubleshooting methods.
  • Write maintainable and scalable code for software components as part of an agile engineering team.
  • Collaborate with stakeholders to envision, design, develop, test, and launch customer-centric software that inspires and impacts users.
  • Apply computer science, engineering, and analysis principles to solve moderate-scale problems.
  • Continuously enhance testability, operational excellence (OE), and documentation for owned software components.
  • Handle data classification, storage, and management in accordance with company policies.
  • Participate in the interview process and provide mentorship to fellow engineers.

Conocimientos

Software development experience
Programming language

Descripción del empleo

Audible is seeking a Software Development Engineer to define, design, and refine the tech behind our audio platform. You will build and maintain the world's largest audiobook creator and provider, collaborating with a skilled team to deliver reliable software for millions of listeners.

You will solve problems with a strong foundation in computer science, write clean code, and contribute to the interview process and mentorship of peers.

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