Software Development Engineer, Global Engineering Services Global Engineering Insights & Software Tools (GEIST) is looking for passionate, hard-working, and talented Software Development Engineers who have experience in supporting innovative and mission-critical software tools.
In this role, you will be building & supporting complex software tools and data solutions with automations using AWS tech stacks.
You will have an enormous opportunity to work on multiple AWS tech stacks, researching and identifying opportunities to have a positive impact on customer experience.
Key Job Responsibilities As a Software Development Engineer in the GEIST organization, you'll work closely with some of the brightest app developers, Data Engineers, Software Development Engineers, and Technical Program Managers to solve highly complex challenges related to software tools.
You will be responsible for designing and developing software solutions/tools to improve the speed, quality, and efficiency of various teams working on Amazon projects.
You will be working on tools and infrastructure challenges involving software, big data, and large-scale back-end cloud services, all with the goal of delivering a seamless experience to the customer.
A Day in the Life A successful candidate will have deep technical expertise, excellent leadership skills, an interest in developing software, data & infrastructure solutions/automations, excellent organizational skills, great communication skills, and a motivation to achieve results in a fast-paced environment.
Candidates must have demonstrated the ability to manage complex software products, understand business use cases, and translate them into technical requirements, building solutions that are reliable and scalable.
You should be comfortable diving deep into technical architectures and requirements, able to quickly identify solutions to challenges discovered during development, and ready to work with some of the latest cloud computing technology.
Prior experience with building stable & scalable software and data solutions is required, while prior experience with databases and designing massively parallel systems is a plus.
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