Amazon Web Services (AWS) is building a central pipeline of Software Development Engineer (SDE) talent for anticipated roles in 2026. The role involves designing, developing, and maintaining efficient software solutions while collaborating with cross-functional teams to meet business requirements.
Responsibilities:
- Design, develop, and maintain efficient, reusable, and reliable code
- Implement complex software solutions that meet business requirements
- Collaborate with cross-functional teams to define, design, and ship new features
- Identify and resolve performance bottlenecks and bugs
- Participate in architecture and design reviews to provide technical guidance
- Contribute to continuous improvement by identifying opportunities for process enhancement
- Stay current with emerging technologies and industry trends
- Mentor junior engineers and contribute to building a strong engineering culture
- Start your morning with a team stand-up to align on priorities and address any blockers
- Collaborate with product managers to refine requirements for upcoming features
- Write code and develop solutions for complex technical challenges
- Review pull requests from team members, providing constructive feedback
- Participate in design discussions for new services or features
- Debug and troubleshoot production issues as they arise
- Attend learning sessions to stay current with AWS technologies
- Document your work and contribute to technical specifications
- Engage with customers or internal stakeholders to better understand their needs
Requirements:
- 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
- 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