Software Development Engineer

Software Development Engineer at Amazon Web Services (AWS)

Amazon Web Services (AWS) is actively building a robust talent pipeline for Software Development Engineer (SDE) roles anticipated for 2026. This requisition covers a wide array of SDE positions across AWS, encompassing both fungible roles and specialized engineering areas.

These specialized areas include: Embedded Systems, Game Development, Compiler Engineering, Artificial Intelligence/Machine Learning, Healthcare AI, Infrastructure Services, Firmware Development, Cloud Computing, Distributed Systems, Security Engineering, Video Processing and Streaming, and Content Delivery Network (CDN).

By applying to this role, your profile will be considered for current and future SDE opportunities across various AWS teams, such as Twitch, AWS Elemental, and AWS CloudFront.

Key Job Responsibilities

• Design, develop, and maintain efficient, reusable, and reliable code.
• Implement complex software solutions that consistently meet business requirements.
• Collaborate effectively with cross-functional teams to define, design, and ship new features.
• Identify and proactively resolve performance bottlenecks and bugs.
• Participate in architecture and design reviews, providing valuable technical guidance.
• Contribute to continuous improvement by identifying opportunities for process enhancement.
• Stay current with emerging technologies and relevant industry trends.
• Mentor junior engineers and actively contribute to building a strong engineering culture.

A Day in the Life

As an AWS Software Development Engineer, a typical day might involve:

• Starting your morning with a team stand-up to align on priorities and address any blockers.
• Collaborating closely with product managers to refine requirements for upcoming features.
• Writing code and developing innovative solutions for complex technical challenges.
• Reviewing pull requests from team members, offering constructive feedback.
• Participating in crucial design discussions for new services or features.
• Debugging and troubleshooting production issues as they arise.
• Attending learning sessions to stay current with the latest AWS technologies.
• Documenting your work thoroughly and contributing to technical specifications.
• Engaging with customers or internal stakeholders to gain a deeper understanding of their needs.

About The Team

Our dedicated central SDE sourcing team at AWS specializes exclusively in the Software Development Engineer job family. This expert team possesses a deep understanding of the nuances across various SDE roles within the organization, serving as your primary resource throughout the hiring journey. Expect:

• An SDE sourcer will contact you for an initial screening call to understand your background, skills, and interests.
• They will provide specific details on how to succeed in the interview process.
• As suitable roles become available, your sourcer will maintain contact and connect you with appropriate teams.
• Throughout the entire process, the central team will offer comprehensive guidance and preparation support.

Basic Qualifications

• 3+ years of non-internship professional software development experience.
• 2+ years of non-internship design or architecture experience (design patterns, reliability, scaling) for new and existing systems.
• 3+ years of experience building complex software systems.
• 2+ years of experience designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using C#, C++, Java, or Perl.
• Bachelor's degree or equivalent.

Preferred Qualifications

• 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.

Key skills/competency

• Software Development
• Distributed Systems
• Cloud Computing
• System Design
• Object-Oriented Programming (OOP)
• Data Structures & Algorithms
• Problem Solving
• Code Review
• Machine Learning (ML)
• AWS Technologies