UI MERN Stack Developer (100 Onsite)

JD :

100% Onsite role

Job Title: UI MERN Stack Developer

Role Descriptions:

Strong experience in JavaScript TypeScript and MERN (MongoDB ) with strong knowledge in front-end architecture and performance optimization and good experience with back-end and data management.
Experience with Redix
Good hands-on experience with State Management
Experience with Event Management
Good hands-on experience with Multi-Threading aspects
Redis
Apache Kafka
Node NPM
MongoDB
Microservices
API Automation
Kubernetes Docker
Experience with AWS

experience in JavaScript TypeScript and MERN (MongoDB ) with strong knowledge in front-end architecture and performance optimization and good experience with back-end and data management.
robust backend services using ExpressJS
and maintain RESTFul APIs and Event Driven services.
experience with Event Management.
understanding and experience with component architecture and state management.
experience with Node NPM Ecosystem.
in React & Core JavaScript: Deep understanding of React fundamentals including components props state etc. Expertise in advanced JavaScript features asynchronous programming (promises async/await) and TypeScript.
Programming & Multi-threading: Very good hands-on experience with asynchronous patterns (callbacks Promises async/await) in JavaScript. To add-on good experience of event management (event loop and how to leverage its single-thread operations efficiently). Understanding of utilizing built-in libuv thread pool for CPU-intensive tasks even though JavaScript code runs on a single Design and Architecture:
experience building/designing distributed systems leveraging Apache Kafka (Producers Consumers Streams) - also for asynchronous programming.
Caching strategies using Redis to optimize performance
and design scalable microservices also ensuring high availability
with Event-Driven and streaming architectures API and Automation.
building and maintaining API automation Cloud and CI/CD
and manage services using Kubernetes
with CI/CD pipelines for automated build test and deployment Data and Messaging.
experience with MongoDB for including advanced querying indexing for performance and sharding aspects for scalability.
real-time and batch pipelines using Kafka.
data consistency and performance tuning Performance and Reliability.
front-end performance (lazy loading code splitting caching)
with improving back-end performance and scalability under high load

Interested candidates share updated resumes