Expires soon Amazon

Software Development Engineer, Alexa Experience and Devices

  • San Francisco (City and County of San Francisco)
  • Design / Civil engineering / Industrial engineering

Job description


Voice-driven AI experiences are finally becoming a reality and Amazon's Alexa cloud service and Echo devices are at the forefront of this latest technology wave. As a software engineer in the Alexa Experiences team, you will help drive this innovation by developing new features that take advantage of the latest Echo device capabilities.

You will be responsible for developing new systems to support these features, partnering with other Amazon and third-party services and device teams as required. An ability to collaborate to design and deliver integrated systems across teams is a must.

You will ensure that Alexa almost never drops her end of the conversation, delivering services that respond with minimal latency at Amazon scale. You have deep experience with at least a few different types of system architecture and have a track record of ramping up quickly on new architectures. You may work on web services, APIs, large scale data infrastructure, machine learning, and more. Being one of our first engineers on a newly formed team, you will also be capable of establishing build systems, continuous integration and deployment systems, and monitoring and logging systems.

Most importantly, rather than being a specialist in any particular area of server-side technology, you are more of a generalist. We're delivering new customer experiences, requiring different technology solutions everyday- you'll need to bring a big toolkit to keep up.

Ideal candidate profile


· 3+ years object-oriented experience with one of: Java (preferred), C#, C++, or similar
· Experience designing and building large-scale, distributed, cloud systems
· Experience designing and building robust systems integrations with APIs and web services
· Expertise with both SQL and NoSQL database technologies
· A track record of establishing tools and processes to improve software quality