Sarv.com - Node.js Developer - MongoDB (3-6 yrs)

We are seeking a skilled and experienced Node.js Developer to join our team and contribute to optimizing and enhancing the performance of our web-based applications.

The ideal candidate will be passionate about writing high-quality, optimized, and cost-effective code, with a strong focus on performance and execution efficiency.

Experience Required :

- Minimum of 3 years of experience in Node.js development.

Location :

Jaipur (or willing to relocate in the near future).

Key Skills & Requirements :

Primary Language : Node.js.

Secondary Language : PHP.

Primary Database : MongoDB.

Secondary Databases : Redis, ElasticSearch.

Other Technologies : RabbitMQ, WebSockets, TCP, Socket Programming, Mother-Child Thread Processing, Inter-Process Communication (IPC), Tokenization.

Responsibilities :

- Develop, optimize, and maintain web-based applications with a focus on performance and scalability.

- Write clean, efficient, and well-documented code in Node.js and PHP.

- Work with MongoDB for handling large datasets and ensure optimal database performance.

- Implement and maintain Microservices architecture, Git, Docker, and connection pooling for efficient development processes.

- Develop and manage child processing and IPC (Inter-Process Communication) for high-performance tasks.

- Work with RabbitMQ and WebSockets to handle real-time data streams and asynchronous operations.

- Ensure the efficient processing and translation of billions of records in databases.

- Collaborate with cross-functional teams to optimize code quality and system performance.

Ideal Candidate Profile :

- Proven experience with Node.js and MongoDB.

- Solid understanding of performance optimization techniques, especially in relation to code efficiency and database management.

- Familiarity with microservices, Git, Docker, and handling large-scale distributed systems.

- Experience working with child processes and IPC in a high-performance environment.

- Strong problem-solving skills, with a keen interest in reducing execution costs and improving system performance.