Software Development Engineer, Ec2 Nitro Instance Networking

Amazon Amazon · Big Tech · Seattle, WA · Software Development

Software Development Engineer role focused on building next-generation automation and analytics services for AWS VPC networking. Responsibilities include developing scalable frameworks for fault detection, remediation, data warehousing, and visualizations. Requires understanding of AWS networking, back-end development, full-stack web development, and familiarity with machine learning and real-time data processing.

What you'd actually do

  1. build our next generation of automation and analytics services to help scale AWS VPC
  2. build scalable frameworks and highly available services to automate fault detection (e.g. test failures, crashes, network performance degradation), remediation strategies, data warehouse analytics, and data visualizations across a large organization
  3. develop frameworks used in validation of end-customer workloads on both production and pre-production environments

Skills

Required

  • 3+ years of non-internship professional software development experience
  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • 1+ years of software development engineer or related occupational experience
  • 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
  • 1+ years of Object Oriented Design experience
  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
  • Experience programming with at least one software programming language

Nice to have

  • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Bachelor's degree in computer science or equivalent

What the JD emphasized

  • machine learning
  • real-time data processing
  • time series data