Software Dev Engineer II, Amazon Detail Page

Amazon is hiring a Software Dev Engineer II, Amazon Detail Page in Bengaluru, India. Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
Tools and skills the posting cites include AI agents.
Level classifies it as a mid-level role.
Level lists 20,000+ other open roles at Amazon.
The role was posted in the last few days.

AI in this role

ai-agents

The Detail Page is where Amazon customers decide what to buy. Every day, hundreds of millions of shoppers land on a product page to discover, evaluate and compare products and offers on mobile, desktop and app, and this surface drives the majority of purchase decisions on Amazon. The Detail Page team builds that experience, along with the platform that lets hundreds of partner teams across Amazon ship features to the page safely and quickly. We are reinventing how the page is built, moving to a modern federated architecture and making AI agents a first-class part of how we design, test and ship software.

As an SDE II, you will own the design and delivery of significant features and services on one of Amazon's highest-traffic pages, where every millisecond of latency and every point of availability matters to customers. You will work on real distributed-systems problems at a scale few places can offer, see your code reach customers worldwide within days, and help shape the technical direction of a page that nearly every Amazon shopper sees. If you love building for customers at massive scale and want your work to matter on day one, we would love to hear from you.

Key job responsibilities
* Design, build and own features and services end to end, from requirements and design through launch and operations.
* Build for scale, writing high-quality, well-tested code that is fast, reliable and safe to deploy on a tier-1 customer surface.
* Improve latency, availability and operational health, and take part in on-call, especially through peak events like Prime Day.
* Partner with Product, UX and partner teams across Amazon to turn ambiguous ideas into shipped, measurable customer experiences, and use experiments to prove impact.
* Contribute to the evolution of the Detail Page architecture, and use AI-native tools and agents to speed up development, testing and operations.
* Review designs and code, mentor junior engineers, and help raise the engineering bar across the team.

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
- 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) experience
- Experience programming with at least one software programming language

Preferred qualifications

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

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.

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How we rate this

Software Dev Engineer II, Amazon Detail Page at Amazon rates 19 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● 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. Read the description and count the AI tools, models and workflows it names.