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Amazon

Application Engineer, RBS TECH

Amazon, Indiana, Pennsylvania, us, 15705


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 processes 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 maintaining 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.

Minimum Requirements

4+ years of software development or technical support experienceExperience with data infrastructures: relational analytic DBMS, Elastic-Search, and Big Data EMR/EC2/Glue/LambdaExperience scripting in modern programming languagesExperience troubleshooting and debugging technical systemsExperience in UnixExperience in building complex QSD (Quick Site Dashboard), writing Cradle Queries, and good knowledge of PySpark and SQLAdditional Qualifications:Strong understanding of support processes SLA, handling tickets, monitoring, processes, and metricsHands-on experience in Cloud technology is a plusHands-on experience with distributed applications/enterprise applications is a plusExperience in developing automated solutions

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