Sr. Software Development Engineer, Aws Insights & Optimizations

Amazon Amazon · Big Tech · NY +1 · Software Development

Senior Software Development Engineer for AWS Analytics and Machine Learning team, focusing on processing large volumes of customer usage data to provide intelligent cost management products. The role involves technical leadership, architectural challenges, and collaboration with Data Scientists to enable features through analytics and ML.

What you'd actually do

  1. Tackle complex problems such as processing large volumes of data at low latency and cost.
  2. Deliver projects that delight our customers
  3. Lead by example your team, establishing high standards coding and operational practices.
  4. Coach and support a team of software developers with a wide mix of backgrounds and strengths
  5. Participate in interviews for other teams in the organization.

Skills

Required

  • 5+ years of non-internship professional software development experience
  • 5+ years of programming with at least one software programming language experience
  • 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • Experience as a mentor, tech lead or leading an engineering team

Nice to have

  • 8+ 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
  • 4+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience

What the JD emphasized

  • processing billions of usage records
  • accurate cost and usage information is a critical piece
  • Enterprise-level customers make large dollar-value decisions
  • processing large volumes of data at low latency and cost

Other signals

  • processing billions of usage records
  • intelligent products to help customers understand, control, and estimate their costs
  • collaborate with Data Scientists to improve customer experience and enabling new features through analytics and machine learning