Gayathri Prabhala
Software Engineering Manager | Payments & Global Shipping | Java, Spring Boot, Microservices, Kafka, CI/CD | Payment Gateways, ML/AI‑Driven Fraud & Disputes | Led $500M+ payment volume | eBay, ex‑Google, LinkedIn
- Role
- Staff Software Engineer (Software Developement Manager Equivalent) - Shipping at eBay
- Location
- Austin, TX, US
- LinkedIn followers
- 500 followers
About Gayathri Prabhala
Software Engineering Manager with 15+ years of experience owning shipping, logistics, and payments platforms for global eCommerce and technology companies including eBay, Google, and LinkedIn. I manage a team of 5 engineers delivering mission‑critical systems that safeguard \\$500M+ in annual payment volume and have generated \\$20M+ in incremental revenue. I own technical roadmaps and distributed systems architecture for global checkout and payment platforms, including international commerce, ML‑enabled fraud prevention, and multi‑acquirer integrations, and I lead engineering organizations to improve scalability, reliability, and resiliency through governance frameworks, architecture standards, and modernized CI/CD practices. Recent Impact – Key Highlights- Re‑architected cross‑border trade, tariff, and international shipping platforms, improving system reliability by ~40%, reducing post‑release defects by 30%, and delivering \\$20M+ incremental annual shipping revenue via +1% checkout conversion and a 20–25% reduction in shipping failures- Led global payment gateway transformation with 99.9% uptime, 30% Sev incident reduction, and 60% MTTR improvement, while driving multi‑acquirer and multi‑rail integrations (Checkout.com, Fiserv, Adyen, Klarna, Venmo, Payoneer) that unlocked \\$25–40M in incremental annual revenue- Directed ML‑driven fraud detection and dispute resolution platforms that reduced chargebacks by 25%(\\$8–12M annual fraud savings), automated 50% of manual reviews, and improved resolution time by 35%- Scaled test automation and CI/CD for critical payment services, increasing coverage from 40% to 90%, cutting manual testing effort by 80%, and enabling 3x higher deployment frequency while maintaining high system stability. Technical & Leadership Focus- Domains: Payments Infrastructure, Payment Gateways, Multi‑Acquirer Routing, Fraud Detection & Dispute Management, Billing & Invoicing Systems, Cross‑Border Trade (CBT), Global Shipping & Logistics Platforms, Tariff & Duty Services- Technologies: Java, Spring Boot, Distributed Systems Architecture, Microservices, REST APIs, SQL, Kafka, CI/CD Pipelines, Jenkins, Git/GitHub, Monitoring & Observability (Grafana, Prometheus), Test Automation (JUnit, TestNG, Selenium), ML/AI (scikit‑learn, TensorFlow, NLP)- Leadership: Engineering Management, Technical Roadmap Ownership, Platform Architecture, Systems Design, Enterprise Delivery, Incident Management, Scalability & Reliability Engineering, Architecture Design Reviews.
Experience
Staff Software Engineer (Software Developement Manager Equivalent) - Shipping
Jul 2025 — Present · Austin, TX, US
Leads backend engineering team of 5 owning enterprise trade, tariff, and location platforms powering international shipping and checkout across eBay’s $500M+ global marketplace, with accountability for distributed systems reliability, automation strategy, and revenue performance.• Owned re-architecture of cross-border trade and tariff platforms to modernize transaction workflows and strengthen distributed systems resilience, reducing production incidents and improving system reliability by ~40%.• Led standardization of architecture, code review, and testing practices to improve engineering quality and delivery predictability across international shipping platforms, reducing post-release defects by 30% and accelerating feature delivery.• Led re-engineering of international shipping and checkout platform architecture to improve reliability, scalability, and error rates, delivering $20M+ incremental annual revenue via +1% checkout conversion and a 20–25% reduction in shipping failures.• Managed team of 5 backend engineers, improving engagement through regular 1:1s, goal setting, and feedback, enabling two internal promotions while maintaining high delivery performance.
Education
MVSR Engineering College
Bachelor's Degree, Mechanical Engineering
Texas McCombs School of Business
Post Graduate Program in Artificial Intelligence and Machine Learning: Business Applications
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