Software Development Engineer, Amazon

Amazon Amazon · Big Tech · IN, KA, Bengaluru · Software Development

Software Development Engineer role focused on expanding Amazon's product catalog using machine learning, deep learning, and information retrieval systems. The role involves designing and building scalable platforms for data processing, entity generation, and product/brand evaluation at a global scale.

What you'd actually do

  1. Work with Sr Engineers to drive the technical and architectural vision of SM systems responsible for generation of structured domain entities from structured/semi-structured data.
  2. Design and build systems and extensible frameworks for complete lifecycle management of domain entities and inter-entity relationships.
  3. Solve complex problems in automated identity generation, web-to-Amazon namespace translation, and classification of products.
  4. Build scalable platform to process external data requests and fulfil them in an automated way.
  5. Lead the design and development of solutions for efficient storage and vending/search of products and related information.

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
  • 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) experience
  • 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

  • strong technical knowledge
  • established background in engineering large scale software systems
  • passion for solving challenging problems
  • high-performing and flexible candidate
  • take responsibility for success of the system
  • drive solutions from design to coding, testing, and deployment
  • achieve results in a fast paced environment
  • high sense of ownership
  • ability to develop end to end solutions
  • improve customer experience
  • solving problems of scale
  • data mining
  • artificial intelligence
  • big data
  • distributed systems of cloud-scale

Other signals

  • machine learning
  • deep learning
  • artificial intelligence
  • large scale distributed systems
  • information retrieval