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Amazon
Would you like to work on one of the world's largest transactional distributed systems? How about working with customers and peers from the entire range of Amazon's business on cool new features? Whether you're passionate about building highly scalable and reliable systems or a software developer who likes to solve business problems, Selling Partner Services (SPS) is the place for you. Our team is responsible for Case Management System.
We are looking for software engineers who thrive on complex problems and solve for operating complex and mission critical systems under high loads. Our systems manage case resolution systems with hundreds of millions of requests, and respond to millions of service requests. We have both frontend and backend code stack and opportunities. We are aimed to provide customizable and LLM based solution to our clients. Do you think you are up for this challenge? Or would you like to learn more and stretch your skills and career?
The successful candidate is expected to contribute to all parts of the software development and deployment lifecycle, including design, development, documentation, testing and maintenance. They must possess good verbal and written communication skills, be self-driven and deliver high quality results in a fast paced environment.
You will thrive in our collaborative environment, working alongside accomplished engineers who value teamwork and technical excellence. We're looking for experienced technical leaders.
Key job responsibilities
As a Software Development Engineer on the team you will take ownership over the software design, documentation, development, engineering approach, delivery and support of systems built natively in AWS. In this role you will collaborate with leaders, work backwards from customers, identify problems, propose innovative solutions, relentlessly raise standards, and have a positive impact on hundreds of millions of customers.- 3+ years of non-internship professional software development experience
- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
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