Expoint - all jobs in one place

Finding the best job has never been easier

Limitless High-tech career opportunities - Expoint

Amazon Software Development Engineer SPS Core Services 
United States, Arizona, Tempe 
547824749

30.03.2025
DESCRIPTION

In this role, you will be a key owner within our software engineering team, executing on our 3 Year Architecture Plan (3YAP) and launching strategic initiatives. You will own one or more services/components and will collaborate closely with Software Engineers, Product Managers, and Scientists from other teams to help deliver various features of the ATS, driving design decisions with cross-org impact and improving operational efficiencies of the system to scale with new use-cases.Key job responsibilities
As an experienced Software Development Engineer, you will take ownership of one or more services in the ATS architecture.You will build new features into the ATS architecture, as well as help teams across SPS deprecate redundant systems, thus driving convergence on ATS.You will participate in the design, development, implementation, testing and documentation of large-scale, multi-tiered, distributed software applications, tools, systems and services using Java, Object Oriented Design and Distributed Programming.You will contribute to the team’s sprint planning cycles, design reviews, code implementation, testing and operations processes.

BASIC QUALIFICATIONS

- 3+ years of non-internship professional software development experience
- 1+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language


PREFERRED QUALIFICATIONS

- Bachelor's degree in computer science or equivalent
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing