Software Development Engineer

- 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
- 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
- Bachelor's degree in computer science or equivalent
Amazon.com is looking for talented software engineers to join the SCOT Automated Inventory Management (AIM) team. As a member of the Auditing-at-Scale team (within AIM) , you will build and manage systems that audit availability and inventory outcomes for Amazon’s retail product catalog. Your primary responsibilities will involve the design and implementation of highly available, scalable and fault-tolerant systems that generate insights on availability & inventory trends, detect defects in these trends and take corrective actions to mitigate defects at scale. You will leverage cutting edge technologies in big data, machine learning, real-time analytics and high volume, low latency, high availability services. You will also have an opportunity to work with data and applied scientists to productionize and launch cutting-edge technologies like Generative AI applications & Large Language Models (LLMs). With Amazon.com having the worlds’ largest selection of items, you will implement highly technical solutions to increasingly complex business decisions impacting millions of dollars a year. If you are looking for an opportunity to solve highly technical problems in an environment that nurtures innovation, a chance to work with highly dedicated, smart and passionate software developers, this is the role for you. The ideal candidate will have excellent communication skills, a passion for solving problems, Expertise in functional programming, knowledge of distributed computing, deep technical knowledge of Java (or any OOP), and the ability to deliver high quality results.

Key job responsibilities
Your key responsibilities include:
o 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.
o Use Java, Scala, object-oriented (OO) design patterns, NoSQL databases, and data modeling techniques.
o Design PB scale big-data processing solutions leveraging latest AWS solutions.
o 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.
o Produce comprehensive, usable software documentation.
o Recommend changes in development, maintenance and system standards.
o Work with Senior and Principal Engineers, Researchers, and Data Engineers across multiple teams to design software solutions for optimizing supply chain management
o Work in an agile development environment, where you are always working on the most important stuff.

Basic Qualifications:
-Bachelor's degree in Computer Science, Software Engineering or a related technical discipline
-3+ years’ full-time experience in software design and development
-Proficiency with at least one Object Oriented language (e.g. Java, C++, C#)
-Knowledge of databases and SQL
-Solid understanding of objected-oriented design concepts
-Sharp analytical skills and strong Computer Science fundamentals
-Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis

Preferred Qualifications:
-Experience with Scala, Spark, Spring, Web Services, NoSQL databases, map-reduce solutions.
-Experience developing software in an agile environment.
-Experience building large-scale, fault-tolerant distributed systems.
-Experience in optimization and automation.
-Willingness to own all stages of development process: design, testing, implementation, operational support
-Willingness to work in an agile, team development environment
-Excellent interpersonal communication skills

About the team
The Audit at Scale (AAS) team within the Automated Inventory Management (AIM) organization is responsible for identifying and resolving defects in key supply chain metrics at granular levels. These defects can lead to undesirable inventory outcomes such as overstocking, understocking, and issues related to availability metrics like SoROOS (Sorceable Retail Out of Stock) and product placement—specifically LIS (Local In-store), ensuring that inventory is positioned within a certain distance from the customer. AAS team leverages science and technology to create standardised, scalable and automated audits for defect identification, driving close-loop repairs, generating business insights and using these insights to enhance business outcomes.