Amazon

Software Dev Engineer II, Collect Launch Team

Job Description

Are you looking for an opportunity to build a highly available, large scale, Gen AI based enterprise-wide software solution? Does it excite you to find patterns and build generic, composable software solutions to solve complex problems? Are you looking for inventing newer and simpler ways of building solutions? If so, we are looking for you to fill a challenging position in Amazon Finance Automation Receivables Technology team.
The FinAuto Receivables Tech team strives to consistently evolve and anticipate emerging business needs that drive scale and efficiency for customers, Amazon, and Global Accounts Receivable (GAR). The Celerity team is a part of the FinAuto Receivables tech team, charted to secure customer communications, automate collections tasks, and Amazon customer insights.
The Finance Automation Receivable Tech team is looking for a smart, motivated, and results-oriented software development engineer to join the team.
We are looking for candidates who are passionate about delivering world-class software. Successful candidates for this position will be self-starters with strong problem solving skills who love getting things done. Strong communication skills and a desire to tackle complex problems that emerge from driving a large business at Amazon are also a must.

As a norm, Amazon Software Development Engineers have industry-leading technical abilities. They recognize and adopt best practices in software engineering: design, testing, version control, documentation, build, deployment, and operations. They solve problems at their root, stepping back to understand the broader context. They build flexible systems without over-engineering and choose simple, straightforward solutions over more complex ones. They understand a broad range of data structures and algorithms and know how, when and when not to use them; recognize and use design patterns to solve business problems. They understand how operating systems work, perform and scale.

Key job responsibilities
Software Engineer understand the business impact of his systems and show good judgment when making technical trade-offs between his team’s short-term business or operational needs and long-term technology needs. You are a key influencer in team strategy. You drive mindful discussions with customers and peers. You bring perspective and provide context for current technology choices and guide future technology choices. You make appropriate architectural trade-offs. Your code submissions and approach to work are exemplary – your solutions are inventive, secure, easily maintainable, appropriately scalable, and extensible. You write software that is easy for others to contribute to.
You take ownership of team architecture, providing a system-wide view and design guidance. You make things simpler. You drive engineering best practices (e.g., Operational Excellence, Security, Quality, etc.) and set standards. When confronted with discordant views, you are able to find the best way forward and influence others to follow that path (build consensus). You actively recruit and help others leverage your expertise, by coaching and mentoring in your organization.

About the team
The team, Collect Launch Team, is part of FinAuto Rec Tech Team and is responsible for Customer Experience (CX), Collection Workbench, Automation of workflows using GenAI and Excavate (AI/ML & Data Science) charters.
Our Vision is to enable FinAuto Collect to become the comprehensive solution for collection activities for all Amazon business channels and marketplaces, enabling Collect users to focus on high-value tasks through real-time insights, automation and precise communication, resulting in a reduction in the requirement for FinOps while maintaining positive and amicable customer relationships.- 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
- 3+ years of computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis) experience
- 3+ years of programming using a modern programming language such as Java, C++, or C#, including object-oriented design experience


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