Sr. Software Dev Engineer, FinTech Account Receivables Cash Apps

14 hours ago

Hyderabad Telangana IND, India Amazon Full time ₹ 15,00,000 - ₹ 30,00,000 per year
The FinTech Accounts Receivable (AR) Cash Applications (Cash Apps) team business to business customer payments, with significant YoY growth across Amazon Business channels. The top goals are timely and accurate identification of customers, invoices, and application of payments to open balances to improve Amazon's Days Sales Outstanding (DSO), free cashflow and customer credit availability.

Cash Apps uses OCR, NLP, ML and GenAI to automate processing, eliminate errors, and generate recommendations, improving productivity. A Sr. SDE is needed to influence architecture across services, solve complex problems, drive initiatives through cross-org collaboration, and lead resilient and highly available designs.

Key job responsibilities
The Sr. SDE is a technical leader who ensures that security and scalability are at the core to their team's designs. They Implement new software by designing, coding and launching multi-tenant cash application services.

Sr. SDE defines bar raising standards for operational excellence and engineering best practices. They lead by example in implementing the standards and educate others by coding critical parts of the software, provide insightful code reviews, lead design reviews, review internal and external designs, and influence other teams. They oversee the development progress to identify the technical blockers or process bottlenecks, and proactively take lead in resolving them. They act as a force-multiplier by engaging with SDEs and provide needed mentoring and coaching support.

About the team
FinTech Accounts Receivable (AR) Cash Applications team is responsible for ingesting cash received in Amazon bank accounts into AR sub ledgers, accurately identifying customers and invoices for each payment, and applying payments to customers' open balances. Cash Applications services use mechanisms like analyzing remittance information, parsing customer email correspondence, and Machine Learning models to automate cash application to reduce human errors and to improve analysts' efficiency by generating recommendations where automation is not possible.

- 8+ years of non-internship professional software development experience
- 8+ 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
- Bachelor's degree in computer science or equivalent

- 8+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

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