Amazon

Application Engineer, RBS TECH

Posted On

Aug. 11, 2025

Location

Bengaluru, Karnataka

Experience Level

Freshers/Experienced

Job Type

Operations, IT, & Support Engineering

Apply By

Sept. 2, 2025

Job Description

Retail Business Services (RBS) supports Amazon’s Retail business growth WW through three core tasks. These are (a) Selection, where RBS sources, creates and enrich ASINs to drive GMS growth; (b) Defect Elimination: where RBS resolves inbound supply chain defects and develops root cause fixes to improve free cash flow and (c) supports operational process for WW Retail teams where there is an air gap in the tech stack. The tech team in RBS develops automation that leverages Machine/Deep Learning to scale execution of these high complex tasks that currently require human cognitive skills. Our solutions ensure that information in Amazon's catalog is complete, correct and, comprehensive enough to give Amazon customers a great shopping experience every time. That's where you can help.

Key job responsibilities
We are looking for a sharp, experienced Application Engineer (AE) with a diverse skillset and background. As an AE, you will work directly with our business teams to solve their support needs with the existing applications and collect requirements and ways to solve highly scalable solutions in collaboration with other technical teams. You will play an active role in translating business and functional requirements into concrete deliverables and building scalable systems. You will also contribute to maintain the services healthy and robust. You will be responsible for implementing, and maintaining the solutions you provide. You will work closely with engineers on maintaining multiple products and services, creating process automation scripts , monitoring and handling ad-hoc operational asks.- 2+ years of software development, or 2+ years of technical support experience
- Experience troubleshooting and debugging technical systems
- Experience in Unix
- Experience scripting in modern program languages
- Knowledge of Python, PySpark, Big Data and SQL Queries

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