Information TechnologyUSA USADeveloper

**Please strictly adhere to the following resume naming convention:
ALL CAPS NO SPACES B/T UNDERSCORES

PTNUSGBAMSREQIDCandidateBeelineID
i.e. PTNUS9999999SKIPJOHNSON0413

Bill Rate: $75- $78

MSP Owner: Sudesh Sahu
Location: Sunnyvale CA
Duration: 6 months
GBaMS ReqID:

Onsite Role

Job Title: MERN Stack Developer

Role Descriptions:
Key Qualifications

Full Stack Development:
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.
Build robust backend services using ExpressJS
Develop and maintain RESTFul APIs and Event Driven services.
Good experience with Event Management
Deep understanding and experience with component architecture and state management
Strong experience with Node NPM Ecosystem
Expertise 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.
Asynchronous 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 thread.

System Design and Architecture:
Strong experience building/designing distributed systems leveraging Apache Kafka (Producers Consumers Streams) - also for asynchronous programming
Implement Caching strategies using Redis to optimize performance
Build and design scalable microservices also ensuring high availability
Experience with Event-Driven and streaming architectures

API and Automation:
Experience building and maintaining API automation

Cloud and CI/CD:
Deploy and manage services using Kubernetes
Work with CI/CD pipelines for automated build test and deployment

Data and Messaging:
Strong experience with MongoDB for including advanced querying indexing for performance and sharding aspects for scalability.
Build real-time and batch pipelines using Kafka
Handling data consistency and performance tuning

Performance and Reliability:
Optimize front-end performance (lazy loading code splitting caching)
Experience with improving back-end performance and scalability under high load