Software Development Engineer, Aws Central Sde Team

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

Software Development Engineer role within AWS Central SDE Team, focusing on building and maintaining code for various AWS services. While AI/ML is listed as a specialization area, the core responsibilities described are general software engineering tasks. The role requires experience in designing and developing large-scale software systems and mentions knowledge of ML frameworks and fundamentals as preferred qualifications, suggesting an adjacent or exploratory engagement with AI/ML rather than core development.

What you'd actually do

  1. Design, develop, and maintain efficient, reusable, and reliable code
  2. Implement complex software solutions that meet business requirements
  3. Collaborate with cross-functional teams to define, design, and ship new features
  4. Identify and resolve performance bottlenecks and bugs
  5. Participate in architecture and design reviews to provide technical guidance

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 building complex software systems experience
  • 2+ 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
  • Bachelor's degree or equivalent

Nice to have

  • Knowledge of ML frameworks including JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT
  • Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
  • Knowledge of Python and/or C++ programming

What the JD emphasized

  • design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services

Other signals

  • AI/ML is a listed area of specialization
  • Knowledge of ML frameworks
  • Knowledge of Machine Learning and LLM fundamentals