MERN Stack Developer

Job Description

Job Description

Pay Rate: $60- $63
Location: Sunnyvale, CA (Onsite role)
Duration: 6 months

Job Title: MERN Stack Developer

Key Responsibilities
Full Stack Development:
1. Strong experience in JavaScript, TypeScript and MERN (MongoDB, Express.js, React.js, Node.js) with strong knowledge in front-end architecture and performance Eligible to workimization and good experience with back-end and data management.
2. Build robust backend services using Node.js, ExpressJS
3. Develop and maintain RESTFul APIs and Event Driven services.
4. Good experience with Node.js Event Management
5. Deep understanding and experience with component architecture and state management
6. Strong experience with Node NPM Ecosystem
7. 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.
8. Asynchronous Programming & Multi-threading: Very good hands-on experience with asynchronous patterns (callbacks, Promises, async/await) in JavaScript. To add-on, good experience of Node.js 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:
9. Strong experience building/designing distributed systems leveraging Apache Kafka (Producers, Consumers, Streams) - also for asynchronous programming
10. Implement Caching strategies using Redis to Eligible to workimize performance
11. Build and design scalable microservices also ensuring high availability
12. Experience with Event-Driven and streaming architectures

API and Automation:
13. Experience building and maintaining API automation

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

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

Performance and Reliability:
19. Eligible to workimize front-end performance (lazy loading, code splitting, caching)
20. Experience with improving back-end performance and scalability under high load