Come help Amazon create and deploy advanced technologies to deliver packages to the customer's doorstep!
Our team is seeking a Sr. Software Development Engineer to help build the core backend services that power our driver delivery mobile app. The ideal candidate is a full-stack engineer whose primary strength is backend development, with a solid understanding of mobile app development (Android or iOS) to effectively collaborate across the stack and deliver cohesive end-to-end experiences.
You will own the design, development, and operation of highly available, low-latency backend systems that serve millions of delivery drivers daily. Your understanding of mobile app architecture, lifecycle, and constraints will be critical to designing APIs, data contracts, and backend behaviors that deliver a seamless driver experience. As a senior member of the team, you'll mentor engineers, influence technical direction, and raise the bar across the organization. We're looking for someone who is passionate about building robust systems at scale and who cares deeply about making our drivers' lives better.
Key job responsibilities
• Design, build, and operate scalable backend services and APIs that power the driver delivery mobile app • Own end-to-end system design - from data modeling and service architecture to API design and deployment • Collaborate closely with mobile (Android/iOS) engineers to design efficient API contracts, offline-capable data flows, and performant client-server interactions • Leverage understanding of mobile app architecture (navigation, state management, background processing, push notifications) to inform backend design decisions • Drive technical design reviews, define best practices, and mentor junior engineers • Own operational excellence - monitoring, alarming, on-call, and incident response for your services
About the team Amazon's Last Mile delivery efforts help get customer packages from delivery stations to a customer's doorstep. Amazon has grown its last mile delivery efforts helping to speed up customer delivery times and provide new innovations to customers. Working on the front lines of our Last Mile tech team means that daily, you have a tangible impact on an Amazon customer's experience getting his or her package. Amazon's Last Mile teams deliver packages (and groceries, Prime Now, third party, and Restaurant orders) to homes, businesses, Amazon Lockers, and even cars all over the world! This network is powered by hundreds of small businesses and tens of thousands of drivers that leverage Amazon's technology to deliver millions of smiles to customers each day. The technology innovations developed by the Last Mile tech team help scale this exponentially growing part of our network and include a wide breadth of solutions from ML and operations research based routing and planning algorithms, our own in-house maps and navigation platform, IoT and hardware innovations, doorstep delivery experience, and the consumer-grade native mobile apps that bring all these experiences together.
Basic Qualifications
- 8+ years of non-internship professional software development experience
- 8+ years of programming using a modern programming language such as Java, C++, or C#, including object-oriented design experience
- 8+ 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
- Bachelor's degree in computer science or equivalent
Preferred Qualifications
- 10+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- Knowledge of system performance, memory management, and parallel computing principles
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