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Build low-latency backend systems for Ring's doorbells, cameras, and smart home devices with the uptime bar of a security system

Ring's backend team is hiring a Software Development Engineer (Java/AWS) to design distributed systems and microservices powering the experiences Neighbors use to interact with Ring doorbells, cameras, and devices, with the reliability expectations of a security system. Expect Amazon's standard SDE bar (professional experience, architecture/design, OOP in Java/C++/C#) combined with Leadership Principles behavioral interviews.

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Likely format

Amazon's standard SDE loop typically includes an online coding assessment followed by interview rounds combining coding/system-design questions with Leadership Principles behavioral questions (per Amazon's well-known public hiring process).

What this interview tests

  • Distributed systems and microservices design for low-latency, high-uptime services
  • Object-oriented design and architecture (Java, C++, or C#) - patterns, reliability, scaling trade-offs
  • Test automation: unit and integration testing discipline
  • Communicating status/changes to stakeholders and keeping plans aligned
  • Responsible use of generative AI tools in the development workflow
  • Amazon Leadership Principles behavioral stories

Common question themes

Design a low-latency backend service for a device like a smart doorbell or camera - what reliability/uptime guarantees would you build in?

Walk through an architecture or design pattern decision you made and the reliability/scaling trade-off behind it

How do you approach test automation (unit + integration) for a service you own?

Tell me about a time you had to communicate a change in plan to stakeholders mid-project

How have you used generative AI tools in your development workflow while maintaining security/compliance standards?

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