Backend Engineer - Java/SpringBoot/Elastic Search/AWS- Top 1% only
Location: Noida, India Experience: 2+ years Team: Engineering

About FenixCommerce
FenixCommerce is an AI-powered delivery intelligence platform helping enterprise ecommerce brands maximize order revenue and order profitability simultaneously. Our platform — spanning Estimated Delivery Date (EDD), Post-Purchase tracking, Carrier Rate Shopping (CRS), Ship-from-Store Routing, and ShippingAgent — is built on AWS across 38+ Spring Boot microservices, backed by MSK/Kafka and Elasticsearch, and powers some of the largest names in retail.

The Role
We're looking for a Backend Engineer to help us build and scale the systems that process millions of delivery and carrier events daily. You'll work on high-throughput, low-latency services that directly power customer-facing accuracy and revenue outcomes.

What You'll Do
Design, build, and maintain backend microservices using Java and Spring Boot
Build and optimize Elasticsearch-backed search and analytics features for large, fast-moving datasets




Develop and scale services on AWS (compute, storage, messaging/Kafka, databases)
Profile and tune applications for high throughput and low latency under production load
Collaborate closely with our ML, data, and frontend engineering teams
Participate in code reviews, architecture discussions, and on-call rotations
Write clean, well-tested, maintainable code with robust attention to performance and reliability
What We're Looking For
2+ years of hands-on experience building high-performance, scalable backend applications
Strong proficiency in Java, Spring Boot, and Maven
Practical experience working with Elasticsearch (indexing, querying, performance tuning)
Hands-on experience with AWS services (e.g., EC2, Lambda, S3, DynamoDB, MSK/Kafka)
Solid understanding of microservices architecture, REST API design, and distributed systems fundamentals
Strong debugging and performance-optimization skills
Comfortable working in a fas

📌 Backend Engineer (Noida)
🏢 FenixCommerce
📍 Noida