Node.js Backend Developer (AWS, AI Workflows)- 100% Remote

VGreen Technology Solutions (VGreenTEK)

0 years

3 - 8 Lacs

thiruvananthapuram

Posted:2 weeks ago| Platform: GlassDoor logo

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Skills Required

node.js developer aws ai mysql orm tuning design elasticsearch filtering redis management rabbitmq sqs processing websockets notifications chat next.js api middleware iam debugging profiling analysis monitoring authentication authorization development openai model summarization testing integration jest writing code regression

Work Mode

Remote

Job Type

Part Time

Job Description

Senior Node.js Backend Developer (AWS, AI Workflows)- 100% Remote
Location: Remote
Contract: months +

Requirements

Core Backend Skills

Strong proficiency in Node.js and Express.js
Expertise in MySQL and Sequelize ORM, including performance tuning, schema design, and migrations
Experience with ElasticSearch for full-text search, filtering, and aggregations
Proficiency in Redis for caching, session management, and pub/sub
Familiarity with RabbitMQ, AWS SQS for async processing and distributed job queues
Experience working with WebSockets for real-time services (e.g., notifications, chat, streaming transcripts)
Exposure to Next.js API routes and middleware for hybrid applications

Cloud Infrastructure & Performance

Solid understanding of AWS services: EC2, RDS, S3, CloudWatch, IAM, SQS/SNS and Lambda
Ability to design scalable, modular APIs with clear separation of concerns and robust error handling
Strong debugging and profiling skills, including experience with performance bottleneck analysis and monitoring tools
Awareness of API rate limiting, authentication/authorization best practices, and RESTful design principles

AI-First Development Practices

As part of an AI-native platform, you//'ll be expected to collaborate closely on AI-driven features and use AI tools for development and system design.

Experience integrating AI workflows and LLM APIs (e.g., OpenAI, Claude, open-source models)
Understanding of prompt design, context management, and token optimization
Familiarity with RAG pipelines and vector databases like pgvector or Pinecone
Experience using Model Context Protocols (MCPs) to enable dynamic AI behavior in response to user/system inputs
Proficient in using AI developer tools such as Cursor, Bolt.new, Copilot, or Codeium for development acceleration and refactoring

Bonus: Experience with AI-powered observability, log summarization, or error classification tools

Testing & Quality Assurance

Strong experience with unit and integration testing frameworks: Jest, Mocha, Supertest, Playwright
Familiarity with API testing tools like Postman
Experience writing testable and maintainable code, with attention to regression coverage

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