Open to opportunities

Manish Singh Patel

@manishsinghpatel

Backend engineer building high-scale distributed systems, boosting conversions, and cutting latency with JVM and ETL expertise.

India

Message

What I'm looking for

I’m looking for a backend role where I can design and scale distributed systems, push JVM and infrastructure performance, and build reliable ETL pipelines—shipping improvements that reduce latency and move conversion metrics.

I’m a backend engineer with 4+ years building distributed systems at Amazon across Payments, Ads, and Grocery, focused on measurable performance and reliability.

At Amazon, I architected and launched PayCheckout for bills/recharges, improving purchase conversion by +374 bps and reducing page-load latency by 43%. I also cut UPI checkout latency by 62.5% (8s → 3s) using async asset loading, prefetching, and client-side caching, and I drove payment flow improvements like Revise Payment for instant retries on deterministic failures.

I’ve led large-scale platform work too—migrating JDK8 → JDK17 on Tier-1 payments with 60–65% throughput gains, 14–21% lower CPU, and ~$60K/yr saved, plus Graviton migration for ApertureService. In Ads and Grocery, I’ve built Spark/Pelican ETL pipelines for 39K+ peak TPS, tuned S3 concurrency to reduce end-to-end latency by ~25%, fixed production bottlenecks, and delivered full-stack and portal tooling with React and Spring Boot APIs.

Experience

Work history, roles, and key accomplishments

Current

Software Development Engineer II

Current

Amazon

Jun 2022 - Present (4 years 1 month)

Built and optimized distributed systems for Payments & Checkout, Ads & Personalization, and Grocery & Store Systems at Amazon, including PayCheckout architecture, payment retry flows, and resiliency improvements. Delivered measurable performance and reliability outcomes through low-latency checkout optimizations, JVM/Graviton migration, and scalable ETL pipeline work.