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Build AI-powered voice channel features for AWS Amazon Connect's cloud contact center

A Software Development Engineer role on AWS Amazon Connect, focused on delivering AI-based solutions for the Voice channel, working across Amazon Lex, Polly, Lambda, S3, and Kinesis. You'll lead end-to-end development from requirements through implementation, partnering with senior technical leaders and Applied Scientists. Requires 3+ years of professional software development plus 2+ years of design/architecture experience on large-scale, multi-tiered, or distributed systems.

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Likely format

Standard Amazon SDE loop: recruiter screen, 1-2 technical phone screens (coding + LP behavioral), then onsite/virtual onsite loop of 4-5 rounds mixing coding, system design, and Leadership Principles interviews.

What this interview tests

  • Large-scale, multi-tiered/distributed system design
  • Integrating AI/voice services (Lex/Polly-style) into applications
  • Object-oriented design and coding fundamentals
  • End-to-end feature ownership from requirements to delivery
  • Collaboration with Applied Scientists on AI-driven features

Common question themes

Design a scalable component of a cloud contact center voice feature

Coding: object-oriented design in Java/C++/C#

Tell me about integrating a speech/NLU AI service into a production system

Describe owning a project end-to-end from ambiguous requirements

Amazon Leadership Principles behavioral (Ownership, Bias for Action, Customer Obsession)

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