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Amazon

Software Development Engineer II, FBA Capacity and Inventory Health Management

Amazon is hiring a Software Development Engineer II, FBA Capacity and Inventory Health Management in Bengaluru, India. Level rates it ; you can apply on Amazon.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this software engineer role: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include Native AI, Microservices and Distributed Systems.
  • Level classifies it as a mid-level role.
  • Level lists 20,000+ other open roles at Amazon.

AI in this role

Build native-AI distributed software services and capacity management tools for Amazon's FBA ecosystem.

Native AIMicroservicesDistributed Systems
software-developmentobject-oriented-designcloud-computingsystem-architecture
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 development across SDLC. 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 products for Amazon's WW Selling partners.
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.

How we rate this

Software Development Engineer II, FBA Capacity and Inventory Health Management 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.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Software DevelopmentObject Oriented DesignCloud ComputingSystem ArchitectureNative AIMicroservicesDistributed Systems

Also common in software engineer jobs at this level

Pay

Typical software engineer job
$167k

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

  1. Tell me about a project where software development was part of your work. What did you do?
  2. Tell me about a project where object oriented design was part of your work. What did you do?
  3. Tell me about a project where cloud computing was part of your work. What did you do?
  4. Tell me about a project where system architecture was part of your work. What did you do?
  5. Walk me through how you've used Native AI in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Software Development, Object Oriented Design, Cloud Computing, System Architecture, and Native 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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