Senior Software Development Engineer, Amazon Now (Project Tez)

Shape how millions of customers discover and shop on Amazon Now Amazons Quick Commerce offering live across 8 global marketplaces. We are looking for a Senior Software Development Engineer to own search discovery traffic and a brand new shopping application.

Quick Commerce customers expect to find what they need in seconds and receive it in minutes. Discovery decides whether they do. A majority of orders begin at search and every improvement in relevance autocomplete and recommendations directly changes what customers find and buy. The platform handles hundreds of thousands of orders per day and is projected to scale to millions of orders per day by year end.

You will be the senior engineer anchoring this charter: architecting AI native search and discovery experiences building traffic entry points across Amazon surfaces and leading the ground up build of a new application. You will work with Applied Scientists Product Managers and PEs and your designs will scale across every marketplace the platform serves.

If you want to apply GenAI to consumer scale discovery problems build a new application from scratch and watch your architecture ship worldwide this is the role.

Key job responsibilities
- Own the architecture of search browse relevance and AI native discovery for Quick Commerce across 8 global marketplaces
- Lead the technical design and ground up build of a new shopping application
- Build traffic and program discovery experiences that bring customers into the store from surfaces across Amazon
- Apply GenAI and LLMs to customer facing discovery including semantic search autocomplete recommendations and agentic shopping experiences
- Design systems that build once and scale everywhere enabling rapid expansion to new marketplaces
- Drive operational excellence for Tier 1 customer facing services covering availability latency and time to detection and mitigation
- Raise the engineering bar through design reviews code reviews and mentoring engineers across the team
- Influence multi team roadmaps and partner with product managers applied scientists and partner engineering teams
- Grow and mentor SDEs in key workstream

A day in the life
Your day blends deep technical work with broad influence. You might start with a design review for a ranking change pair with applied scientists on a relevance model rollout then unblock an engineer on a new marketplace launch. Afternoons go to architecture for the new application diving into latency and search quality metrics and aligning with product managers on roadmap tradeoffs. Your customers are millions of shoppers worldwide and your stakeholders include engineers product managers scientists and partner teams across Amazon. You set the technical direction others execute against.

About the team
Tez CX is the customer experience platform powering Quick Commerce across 8 Amazon marketplaces including India MENA North America EU UK and Japan. This role sits in the team that owns discovery: search browse traffic and the new application. We are a fast paced team of passionate Amazonians building first of its kind initiatives that scale beyond India and grocery. We follow a flexible and collaborative culture with strong mentoring from senior leaders. The team values high ownership and bias for action insists on highest standards and builds fast and iterates fast.


- 5 years of non-internship professional software development experience
- 5 years of programming with at least one software programming language experience
- 5 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
- Bachelors degree in computer science or equivalent

- 5 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Experience working with high-availability distributed systems and services
- Experience applying LLMs or GenAI to customer facing product experiences

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