Amazon's Payroll Tax & Accounting Technology team is seeking a driven Software Development Engineer to help build a next-generation, globally scalable gross-to-net calculation engine. This role involves developing sophisticated tax processing capabilities that support Amazon's continued growth and ensures accurate financial calculations impacting millions of employees. You will operate in a fast-paced environment, tackling complex regulatory contexts and leveraging AWS cloud services to drive innovation.

As an SDE at Amazon, you will contribute to real-world, global-scale problems. You'll own systems end-to-end and influence technology direction. Expect to design flexible and scalable solutions, utilizing your expertise in data structures, algorithms, and object-oriented programming to address large-scale computing challenges. This position offers the chance to work within a dynamic development team in a rapidly expanding organization.

Design and develop a high-performance, globally deployed gross-to-net calculation engine. This engine will utilize LLM-based rule extraction to formalize complex tax regulations, including multi-layered calculations and YTD tracking.

Create deterministic tax calculation algorithms to manage employee withholding and employer tax obligations, processing gross earnings to net pay across multiple countries. Develop accounting integration services for generating GL and journal entries for all payroll-related items.

Implement GenAI shadow mode validation frameworks to ensure accuracy against existing systems. Collaborate closely with fellow SDEs, Technical Program Managers, tax specialists, and payroll operations teams to define features and continuously enhance software solutions.

A minimum of 3 years of professional software development experience, excluding internships. Additionally, 2+ years of experience in designing or architecting new and existing systems, focusing on patterns, reliability, and scaling.

Proficiency in at least one programming language is essential. A Bachelor's degree in Computer Science or an equivalent field is required. Experience with the full software development lifecycle, including coding standards, code reviews, source control, build processes, testing, and operations is necessary.

Demonstrated ability to contribute to the architecture and design of systems, encompassing architecture, design patterns, reliability, and scaling. Strong knowledge of professional software engineering best practices throughout the development lifecycle, including coding standards, architectures, code reviews, source control, continuous deployments, testing, and operational excellence.