AmazonPosted today

Software Development Engineer II, FBA Capacity and Inventory Health Management

Software Development Engineer II, FBA Capacity and Inventory Health Management at Amazon scores 65 out of 100 on AI centrality, which makes it a Level 3 role on this board.

IN, KA, Bengalurumidfull-time

AI in this role

Builds scalable software solutions and Native-AI systems for Amazon's FBA capacity and inventory management.

awsmicroservicesdistributed-systems

Sellers are a critical part of Amazon’s ecosystem to deliver on our vision of offering the Earth’s largest selection and lowest prices. These Sellers offer hundreds of millions of unique products providing a broad and diverse inventory of products from Books, Electronics and Apparel to Consumables and beyond. Fulfillment By Amazon enables Sellers to provide fast and efficient delivery to their customers using Amazon fulfillment services which stores, packs, ships and provides customer service for seller products. Sellers now make up the majority of the business on Amazon.com. The FBA team is responsible for the science, business, and operations of the core systems, algorithms, and seller-facing tools and workflows of the FBA service. These enable FBA sellers to enroll selection, plan and inbound product, and manage and action inventory in Amazon fulfillment network - managing through the full inventory lifecycle. FBA Capacity Management and Planning organization builds and manages tools worldwide for FBA capacity allocation, market-driven additional limit system, capacity management in emerging countries, inventory planning and forecasting, and the north-star seller-facing metric, the Inventory Performance Index.Our systems are built entirely in-house, and are scalable for automating large-scale business, inventory planning and optimization. We work with some of the best research scientists and software developers in the industry.

Key job responsibilities
You will leverage Native-AI SDLC to build software solutions for Amazon's WW selling partners. You design at the product level with heavy involvement through all phases of the SDLC using concepts that may include Service Oriented Architecture, caching, load balancing, non-relational databases, microservices, sharding, n-tiered architecture, cloud and/or map-reduce.
You use object-oriented design concepts to program large multi-tier systems. You have working knowledge of common and useful design patterns.
You have designed, refactored, re-architected, deprecated and/or implemented large-scale cloud-based distributed services with millisecond latency and ultra-high transactional volumes.
You have experience implementing best practices in improving team coding culture subjected related to quality and/or security
Effectively articulate technical challenges and solutions to non-technical audiences.

In this job, you will…
Build Native-AI software solutions.
Experiment with whatever technology we need to get the job done.
Use Lean Software Development concepts such as Agile, Scrum and Kanban.
Use Test-Driven Development and Continuous Deployment.
Work with Senior and Principal Engineers, Researchers, and Data Engineers across multiple teams to design a new platform for optimizing supply chain management
Expand and optimize our world-class supply chain systems to support a variety of emerging business initiatives.
Automate third party supply management systems and break new ground to drive inventory across Amazon marketplaces.

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
- Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques

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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A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AwsMicroservicesDistributed Systems

Questions you could be asked

What's a project where you used Aws hands-on?
Walk me through how you've used Microservices in your day-to-day work.
What are the limits of Distributed Systems that you've run into, and how did you work around them?
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: Aws, Microservices, and Distributed Systems. 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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