Amazon - New York, NY

posted 11 days ago

Full-time
New York, NY
Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The role involves working closely with early-stage startups to help them adopt the right technical architecture and solutions as they grow. The position requires building relationships with diverse startups, providing technical guidance, and advocating for their needs within the AWS product teams. The candidate will also create technical content and present at events to share knowledge with a broader audience.

Responsibilities

  • Help a diverse range of startups to adopt the right architecture at each part of their lifecycle
  • Support startups in architecting scalable, reliable and secure solutions
  • Support adoption of a broad range of AWS services to deliver business value and accelerate growth
  • Support the evolution and roadmap of the AWS platform and services, connecting our engineering teams with our customers for feedback
  • Establish and build technical relationships within the startup ecosystem, including accelerators, incubators and VCs
  • Develop startup specific technical content, such as blog posts, sample code and solutions, to assist customers solve technical problems and reduce time-to-market

Requirements

  • 2+ years of design, implementation, or consulting in applications and infrastructures experience
  • 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience

Nice-to-haves

  • Experience working within software development or Internet-related industries
  • Experience migrating or transforming legacy customer solutions to the cloud
  • Experience working with AWS technologies from a dev/ops perspective
  • Experience working within regulations such as PCI compliance
  • Experience with FSI-related applications such as Insurance systems, trading platforms, financial information systems, big data analytics, etc.
  • 5+ years experience in big data analytics and machine learning applications within financial services

Benefits

  • Flexible work hours and arrangements
  • Ongoing events and learning experiences
  • Mentorship and career growth opportunities
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