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Software Development Engineer

3 weeks ago

Bengaluru Karnataka IND, India Amazon Full time
Are you a Software Development Engineer who thrives on solving complex technical challenges with real business impact? Do you want to build systems that process billions of transactions and directly affect the success of millions of entrepreneurs worldwide? Join our Seller Fees Tech organization where you'll develop critical financial services that power Amazon's global marketplace expansion.
At Seller Fees Tech, you'll work on distributed systems that calculate, process, and apply complex fee structures across Amazon's global marketplaces. Your code will directly impact over 2MM+ active sellers who rely on our systems for accurate, transparent financial transactions every day. You'll tackle fascinating engineering problems like implementing precise financial calculations at massive scale, optimizing high-throughput services handling millions of transactions per hour, and ensuring data consistency across diverse marketplace implementations.
As an SDE II on our Expansions team, you'll design and build services that standardize fee structures, incentive programs, and financial adjustment mechanisms across established and emerging marketplaces. You'll work with modern tech stacks to create robust APIs, develop scalable microservices, and implement complex business logic. This role provides exceptional growth opportunities as you'll help pioneer the adoption of GenAI tools to accelerate development cycles and improve code quality.
This position offers the perfect blend of technical depth and business impact—your code will not only solve fascinating engineering challenges but also enable entrepreneurs worldwide to build successful businesses on Amazon's platform.

Key job responsibilities
Key job responsibilities
A. Technical Development
1. Design, develop, and maintain scalable services and applications that close parity gaps between established and emerging marketplaces
2. Implement complex business logic for fee calculations, incentives, and adjustments with high reliability and accuracy
3. Write high-quality, well-tested code that meets Amazon's engineering standards
4. Participate in code reviews and provide constructive feedback to peers
5. Troubleshoot and resolve complex technical issues in production environments
6. Collaborate with other engineers to identify and implement technical improvements, document services, APIs, and architectural decisions
B. Innovation & Problem Solving
1. Contribute to the adoption of GenAI tools to improve development workflows and efficiency
2. Propose and implement technical solutions that address specific marketplace expansion challenges
3. Identify opportunities for reuse and standardization across marketplace implementations
4. Analyze and improve system performance, reliability, and scalability
5. Participate in brainstorming sessions to solve complex technical and business problems
C. Cross-Functional Collaboration
1. Work effectively with Product Managers to understand business requirements and translate them into technical solutions
2. Partner with other engineering teams to ensure seamless integration between systems
3. Communicate technical concepts clearly to both technical and non-technical stakeholders
4. Collaborate with teams across different geographic locations and time zones
5. Participate in planning activities including sprint planning, estimation, and retrospectives

- 3+ years of non-internship professional software development experience
- Experience programming with at least one software programming language
- Bachelor's degree in computer science or equivalent
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Master's degree or equivalent
- Master's degree or above in computer science, machine learning, engineering, or related fields, or experience in defining and creating benchmarks for assessing GenAI model performance

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