SDE II, EE Experiences, Progressive Discovery and Monetization

Amazon is hiring an SDE II, EE Experiences, Progressive Discovery and Monetization in Bengaluru, India. Level rates it ; you can apply on Level.

AI in this role

Design and build discovery, recommendation features, and backend services using AI tools and partnering with scientists.

generative-ai

software-developmentbackendrecommendation-systems

Everyday Essentials (EE) is a $100B+ business and one of the fastest-growing categories at Amazon — the household staples, health and personal care, grocery, and beauty products hundreds of millions of customers reorder. We're reinventing how customers discover, buy, and get more value from them, and we're looking for Software Development Engineers who want to build that future.

The EE Experiences organization builds the shopping experience for the products customers come back for most. Our charter is Progressive Discovery and Monetization: helping customers find better products for their needs, complete their baskets, and improve EE business economics — and giving the world's largest consumer brands new and effective ways to reach those customers and grow with Amazon. We build a durable, profitable business at the intersection of the two, on the surfaces customers use every day.

This is a space where the hardest problems don't have off-the-shelf answers. We're not polishing a solved product — we're inventing experiences that don't exist yet, and the decisions we make now shape a business with room to grow for years. You'll build discovery and recommendation features, brand-facing advertising surfaces, and the backend services that power them. Your work moves from whiteboard to production in front of a very large customer base, with visibility all the way to senior leadership.

We're an AI-first team, and that shows up in two ways. We use AI throughout how we build software, and we expect our engineers to keep learning and applying the latest tools to move faster and raise the quality bar. AI is also at the core of what we build — the intelligence that helps customers find the right product is a modeling and engineering problem we work on hand in hand with scientists. If you're curious about AI, learn quickly, and like using it to solve real customer problems while keeping a clear head about where it helps and where it doesn't, you'll fit right in.

Key job responsibilities
Design, build, and own software end to end — from customer research through design, code, testing, deployment, and production operations.
Take on ambiguous problems where the goal is clear but the path is not, bring clarity, and deliver simple solutions that improve how customers find and buy everyday essentials.
Partner closely with scientists, product managers, and designers to turn customer and brand problems into products that ship worldwide.
Use generative AI tools and modern engineering practices to raise quality and velocity, and coach teammates on getting the most from them.
Own operational health for your services — monitor metrics, drive root-cause fixes, and keep improving the experience for customers and brand partners.
Raise the technical bar through code reviews, mentoring, and hiring for the best talent.

A day in the life
Most days start with the customer problem in front of you: how to help someone find better everyday-essentials products faster, or how to give brands a more effective way to reach shoppers or how to improve the profitability of the business. You dig into data, sketch a design, and talk it through with product managers and scientists before writing any code. By the afternoon you might be prototyping an idea that didn't exist yesterday, reviewing a teammate's change, or debugging something in production. Because so much here is new, you won't just pick up tickets. You'll help decide what to build, push for the approach you believe in, and see your work reach customers in weeks, not quarters.

About the team
Our team owns how customers discover and buy the everyday essentials they rely on — and how the brands behind those products reach them. Our mission is to make restocking the things you need effortless, help customers find better options and to improve the business economics along the way. Day to day you'll work with fellow engineers and partner closely with product managers, designers, and scientists, who bring the customer and data insight that shapes what we build. We're a small, fast-moving group solving open-ended problems for hundreds of millions of shoppers — a place where you own problems end to end and your ideas reach customers fast.

Basic qualifications

- 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
- Bachelor's degree in computer science or equivalent

Preferred qualifications

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience building complex software systems that have been successfully delivered to customers
- Experience debugging, profiling, and implementing best software engineering practices in large-scale systems

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

SDE II, EE Experiences, Progressive Discovery and Monetization at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

SDE II, EE Experiences, Progressive Discovery and Monetization is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in IN, KA, Bengaluru.
The job was posted on October 13, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Software DevelopmentBackendRecommendation SystemsGenerative AI

Also common in software engineer jobs at this level

Python AWS LLM Java AI agents TypeScript

Pay

Typical software engineer job: $168k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

Tell me about a project where software development was part of your work. What did you do?
Tell me about a project where backend was part of your work. What did you do?
Tell me about a project where recommendation systems was part of your work. What did you do?
What's a project where you used Generative AI hands-on?
Describe a typical day in a role like this one: which parts run through AI directly?

Adapt your resume

List these exact terms on your resume: Software Development, Backend, Recommendation Systems, and Generative AI. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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