Open to opportunities

Khushal Sahni

@khushalsahni

Message

Backend Engineer | Strong in system design, DSA & Java | Focused on scalable, reliable solutions

India

Message

What I'm looking for

I'm seeking backend/cloud-native engineering roles building scalable, high-reliability systems (payments, event-driven pipelines). I value product impact, ownership of system design, mentorship opportunities, and a collaborative growth-oriented team.

I am a backend-focused software engineer who designs and optimizes cloud-native, payment and event-driven systems, improving reliability and performance across multiple microservices. I have led teams, redesigned payment architectures, and built scalable pipelines that handled 1M+ daily events with 98% accuracy.

I build pragmatic, production-ready integrations—from Redis-based fraud prevention and Node.js libraries to React Native SDKs for facial analysis—which increased conversions and reduced latency. I prioritize measurable business impact, observability, and mentorship while owning both high-level and low-level system design.

Experience

Work history, roles, and key accomplishments

Current

SDE 2

Current

Urban Company

Jan 2025 - Present (8 months)

Spearheaded functional and non-functional optimizations across 9+ AWS-deployed microservices, improving API performance, observability (Grafana, ELK) and infrastructure efficiency while significantly reducing service errors. Redesigned payment processing to decouple it from the user journey and implemented Redis-based distributed locks to prevent multi-device coupon fraud.

AWS ECS Kafka Grafana ELK Redis Microservices Observability Performance Tuning

SDE 1

Urban Company

May 2022 - Dec 2024 (2 years 7 months)

Redesigned the money-flow stack to support multi-category handling across 7+ microservices with zero breakage and led a team of 3 developers to deliver on time. Built a Node.js payment-summary library to consolidate 10+ implementations, integrated a facial analysis SDK to raise conversion by 1.5%, and implemented a Gifts micro-frontend that cut latency 40% and increased repeat conversion by 2%.