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Amazon
Are you a seasoned software engineer who thrives on solving complex technical challenges at scale while mentoring others? Do you want to architect critical tech systems that directly impact millions of entrepreneurs worldwide? Join our Seller Fees Tech organization as a Senior SDE and lead the development of sophisticated services that power Amazon's global marketplace expansion.
As a Senior SDE on our Expansions team, you'll architect and develop solutions that standardize fee structures, incentive programs, and fee adjustment mechanisms across Amazon's global marketplace portfolio. You'll be a technical leader who designs scalable, resilient systems processing billions of transactions while guiding more junior engineers and translating complex business requirements into elegant technical implementations. Your expertise will be crucial in closing parity gaps between established and emerging marketplaces, ensuring a consistent seller experience worldwide.
In this role, you'll have the opportunity to pioneer GenAI adoption across our engineering workflows, significantly improving team efficiency and delivery capabilities. You'll work at intersection of financial systems, distributed computing, and marketplace economics, solving technical challenges that require both deep engineering expertise and keen business acumen.
The Seller Fees Tech organization supports over 2MM+ active sellers by ensuring accurate, transparent fee calculations that directly impact their business operations. Your work will directly influence seller profitability, marketplace growth, and Amazon's revenue streams through the development of robust, scalable services that must perform flawlessly at massive scale.
Key job responsibilities
A. Technical Leadership
Architect scalable, resilient services that standardize fee structures and financial mechanisms across global marketplaces
Design and implement simplified solutions to solve complex problems at massive scale
Lead technical design discussions and make critical architectural decisions that balance technical excellence with business requirements
Establish engineering best practices, technical standards, and design patterns for the team
Develop technical roadmaps for significant initiatives and guide implementation across multiple sprints
Make sound technical decisions that consider long-term maintainability, performance, and operational excellence
B. Engineering Excellence
Write high-quality, well-tested code that serves as an example for the team
Drive code reviews that improve overall system quality and developer skills
Design and implement robust error handling, monitoring, and observability solutions
Optimize system performance, scalability, and resilience for mission-critical financial services
Collaborate with operations teams to ensure systems are production-ready and meet stringent SLAs
Lead technical investigations for complex production issues and implement comprehensive solutions
C. Innovation & Mentorship
Pioneer GenAI adoption to improve development workflows, code quality, and team productivity
Mentor junior engineers, helping them grow technically and professionally
Identify and evaluate new technologies that could benefit the team's development process
Partner with product managers to translate business requirements into technical solutions
Share knowledge through documentation, tech talks, and training sessions- Bachelor's degree in computer science or equivalent
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- Strong knowledge of data structures, algorithms, and software design patterns
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