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Software Development Engineer III, FBA Capacity and Inventory Health Management

Amazon

  • Location Bengaluru, Karnataka, India
  • Job type Full-time
  • Work mode On-site
  • Salary Not disclosed
  • Posted

Job overview

Location
Bengaluru, Karnataka, India
Experience
5+ years
Job type
Full-time
Work mode
On-site
Salary
Not disclosed
Category
IT & Technology
Posted
Valid through

At a glance by CareerCola

Company
Amazon
Role
Software Development Engineer III, FBA Capacity and Inventory Health Management
Location
Bengaluru, Karnataka, India
Employment type
Full-time
Work mode
On-site
Category
IT & Technology
Posted
14 Sep 2026
Valid through
15 Oct 2026
Experience
5+ years

About the role

DESCRIPTION

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 lead Native-AI transformation in team's SDLC processes. 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…
You will lead Native-AI transformation in team's SDLC processes.
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

- 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
- Bachelor's degree in computer science or equivalent

PREFERRED QUALIFICATIONS

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution

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.

About Amazon

Visit company website

Amazon is a global technology company headquartered in Seattle, Washington, United States. It operates e-commerce, cloud computing (AWS), devices, and digital entertainment, and hires engineers and operators worldwide.
View company profile

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