Job Title: MERN Stack Developer
Location: Sunnyvale, CA
Job Type: Contract
Rate: $60/hr-$65/hr
Key Responsibilities
Full Stack Development:
- 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.
- Build robust backend services using Node.js, ExpressJS
- Develop and maintain RESTFul APIs and Event Driven services.
- Good experience with Node.js 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 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:
- Strong experience building/designing distributed systems leveraging Apache Kafka (Producers, Consumers, Streams) - also for asynchronous programming
- Implement Caching strategies using Redis to Eligible to workimize 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:
- Eligible to workimize front-end performance (lazy loading, code splitting, caching)
- Experience with improving back-end performance and scalability under high load
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