Join our innovative Payroll Technology team at Amazon, where we drive efficiency and accuracy for a growing global workforce. As a Software Development Engineer, you will architect, design, and launch core product features, significantly impacting our strategy and delivery of high-quality solutions. This role is perfect for a proactive individual passionate about tackling complex challenges in a distributed, service-oriented architecture.

You will shape the future of Amazon's payroll systems by defining product features and spearheading best practices. This is an opportunity to make a substantial contribution in a hyper-growth environment where your work ensures seamless and defect-free operations at scale.

Design, develop, and implement robust features and modules, including comprehensive unit and integration testing. Take ownership of operational maintenance within the production environment.

Contribute to high-level and low-level design documentation, conduct thorough code and design reviews, and participate actively in requirements grooming sessions to refine use cases.

Proactively identify and suggest enhancements to improve customer experience and product functionality. Play a key role in managing CI/CD pipelines and proposing optimizations for the code delivery process.

A minimum of 3 years of professional software development experience, excluding internships, is required. Possess at least 2 years of experience in designing or architecting new and existing systems, with a focus on design patterns, reliability, and scalability.

Demonstrate 3+ years of experience within the Video Games Industry, supporting title development, release, or live operations. Proficiency in at least one programming language is essential.

We value autonomous contributors who consistently produce high-quality work, solve complex problems using appropriate technologies, and build scalable, secure products. Your solutions should be pragmatic, well-documented, and considerate of legacy code, minimizing incidental complexity while maximizing reusability.