Software Development Engineer, SCOT WW Long Term Planning and Forecasting

Amazon

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profile Job Location:

Hyderabad - India

profile Monthly Salary: Not Disclosed
Posted on: 12 hours ago
Vacancies: 1 Vacancy

Department:

Software Development

Job Summary

Supply Chain Optimization Technologies (SCOT) is looking for a Software Development Engineer to join the Long-Term Forecasting and Planning team. Youll work with advanced algorithms distributed systems and large-scale data technologies to build highly scalable services that power Amazons worldwide customer demand inventory and cube forecasting. Your work will drive inventory and cube plans for millions of products across Amazons global fulfillment network and influence multi-billion-dollar build decisions. This program is building a brand-new forecasting platform that delivers coherent accurate global-scale predictions. Were looking for an engineer with strong ownership deep technical skills and a passion for tackling complex problems at massive are a group that has fun at work while driving incredible customer business impact. We are backed by a strong leadership group dedicated to operational excellence that empowers a reasonable work-life balance. As an established experienced team we offer the scope and support needed for substantial career growth.

Key job responsibilities
Design develop test troubleshoot debug deploy maintain document and deliver large-scale highly distributed real-time and management systems that are core to effectively managing the supply chain business.

Use Java python object-oriented (OO) design patterns NoSQL databases and data modeling techniques.

Design PB scale big-data processing solutions leveraging latest AWS solutions.

Gather and analyze business and functional requirements and translate business requirements into technical design specifications. o Serve as a key technical resource in the full development cycle.

Produce comprehensive usable software documentation.

Recommend changes in development maintenance and system standards.

Work with Senior and Principal Engineers Researchers and Data Engineers across multiple teams to design software solutions for optimizing supply chain management

Work in an agile development environment where you are always working on the most important stuff.

About the team
We are the LTPF team under Supply Chain Optimization Technologies (SCOT). SCOT is the name of a complex group of systems designed to make the best decisions when it comes to forecasting buying placing and shipping inventory. Functionally these teams work together to drive in-stock drive placement drive inventory removal and manage the customer experience.

- 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

- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors degree in computer science or equivalent

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.


Required Experience:

IC

Supply Chain Optimization Technologies (SCOT) is looking for a Software Development Engineer to join the Long-Term Forecasting and Planning team. Youll work with advanced algorithms distributed systems and large-scale data technologies to build highly scalable services that power Amazons worldwide c...
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Key Skills

  • Client Servicing
  • Apache
  • Community Support
  • FIDIC
  • Data Analysis

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