Backend Engineer · Java · Distributed Systems

Hello, I'm Mohammed Wazahath Hussain

Building scalable content pipelines and high-performance backend infrastructure that power Zee5 — India's leading OTT platform. Specialized in Java, Spring Boot, Kafka, and Solr at production scale.

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About

Who I Am

I'm a Backend Software Engineer with 4+ years of experience designing systems that serve millions of users daily. My work lives at the intersection of content infrastructure, event-driven architecture, and search.

At Zee Entertainment (Zee5), I contributed to the entire content lifecycle — from the moment content is published in the CMS, through Kafka-driven transformation pipelines, into Solr indexes, and finally out through the Collection API that builds the content rails users see on screen.

I care deeply about systems that are low-latency, fault-tolerant, and observable — infrastructure that disappears into the background and just works, even during peak global events like FIFA World Cup 2026.

4+
Years Experience
Zee5
India's Top OTT
⚽
FIFA WC 2026 Team
GCP
Cloud Native
⚽
FIFA World Cup 2026 — Platform Engineering
Zee5 · Core Backend Team
One of the world's most-watched sporting events. Billions of minutes of content. Zero room for downtime.

As a core member of Zee5's FIFA World Cup 2026 engineering team, I designed and hardened backend services to handle massive concurrent traffic spikes, real-time live content delivery, and instant metadata refresh under extreme load — maintaining sub-second response times and full platform availability for millions of simultaneous viewers.
High Availability Traffic Spike Engineering Live Content Delivery Horizontal Scaling Real-time Metadata Zero Downtime

Stack

What I Work With

⚡
Languages
JavaNode.jsSQL
🏗
Frameworks
Spring BootSpring ReactiveREST APIs
🔄
Architecture
MicroservicesEvent-DrivenMiddlewareSystem Design
📨
Messaging & Search
Apache KafkaApache Solr
🗄
Data & Cache
PostgreSQLRedis
☁️
Cloud & DevOps
GCPDocker

Career

Where I've Worked

Zee Entertainment Enterprises Ltd.Nov 2023 – Present
SDE 2
  • Contributed to the end-to-end content lifecycle — from CMS publishing events through Kafka-driven transformation, validation, enrichment, and Solr indexing to final API delivery
  • Built and maintains the Core Collection API responsible for fetching from Solr, trimming and enriching metadata, assembling content rails, and serving structured data to frontend apps for personalized rendering across Zee5
  • Core member of the FIFA World Cup 2026 backend engineering team — designed services for massive traffic spikes, real-time live content delivery, and zero-downtime requirements
  • Improved Solr search performance through schema tuning, query optimization, and field boosting strategies
  • Implemented scalable Kafka-based event-driven workflows for real-time content synchronization across distributed systems
  • Contributed to GCP cloud-native deployments improving scalability, fault tolerance, and operational reliability
Zee Entertainment Enterprises Ltd.Jul 2022 – Oct 2023
SDE 1
  • Designed and developed the middleware platform acting as the integration layer between Zee5's content production teams and core technology systems
  • Built microservices for content processing, metadata transformation, and business workflow automation using Spring Boot
  • Implemented Kafka event-driven communication for reliable, asynchronous content pipeline processing
  • Enhanced service reliability by identifying bottlenecks and optimizing backend workflows across content systems
Zee Entertainment Enterprises Ltd.Jan 2022 – Jul 2022
Software Engineering Intern
  • Developed backend features and REST APIs using Java and Spring Boot within enterprise-scale microservices systems
  • Resolved production bugs and contributed to performance optimizations improving service efficiency

Projects

What I've Built

🏥
✓ Completed
JeevaAI HMS — Hospital Management System
Full-stack AI-powered Hospital Management System. Doctors access patient records — vitals, diagnosis, history, blood group, treatment lines — and receive AI-generated recommendations they can approve, annotate, or reject. Supports specialty and super-specialty flows with structured handoffs between treating doctors and assigned specialists.
Spring Boot 3.2Next.js 14PostgreSQLRedisDockerAnthropic AIJWT Auth
📡
✓ Production
Zee5 Content Pipeline & Collection API
End-to-end content infrastructure for Zee5 — CMS publishing events flow through Kafka, transformed and indexed into Solr, served via the Collection API that builds every content rail on the platform. Powers content discovery for millions of daily users.
JavaSpring BootKafkaSolrRedisGCP
🎓
✓ Completed
ExamHub — Exam & Scholarship Discovery
Centralized discovery platform for Indian students to find entrance exams and scholarships. Dynamic filtering via JPA Specifications, JWT authentication, and a full Spring Boot + Next.js architecture.
Spring BootNext.jsJPA SpecsJWTPostgreSQL
🤖
⚙ In Development
AI-Integrated Backend Service
A Spring Boot service that integrates LLM APIs, handles streaming responses, and exposes AI through clean production-ready REST endpoints — built to understand how AI fits as a first-class backend component.
JavaSpring BootLLM APIsRAGStreaming

Currently

What I'm Exploring

Active
AI Integration for Backend Systems

AI belongs in the infrastructure layer — not just at the UI. Building hands-on experience integrating LLMs into Java/Spring Boot services: streaming responses, prompt design, context management, and RAG patterns. The goal is production-ready AI components, not prototypes.

Exploring
Spring AILangChain4jOpenAI APIOllamaVector DBsRAG Patterns
Building toward

Observable, testable AI-powered backend services that integrate cleanly into microservices architectures at production scale.

Contact

Let's Build Something

Open to backend engineering roles, interesting distributed systems problems, and collaborations on content infrastructure.

wajjjaaa@gmail.com +91 88849 78791 LinkedIn GitHub