Node.js - Backend & AI-Enabled Engineering Technical Lead

VGreen Technology Solutions (VGreenTEK); Coimbatore District; Hybrid; INR 1,500,000 - 2,500,000; Full time

Job summary

A tech solutions company is seeking an experienced Node.js Tech Lead with 7 to 10+ years in Node.js development. The role requires overseeing backend architecture, driving technical leadership, and mentoring teams to deliver scalable, cloud-native systems. The ideal candidate will have a strong understanding of microservices, cloud-native architecture, and proficiency with modern development tools. This is a hybrid position located in Tamil Nadu with a permanent hiring mode.

Qualifications

• 7+ years of strong experience in Node.js development.
• Proficiency in backend frameworks like Express.js, NestJS, Fastify.
• Hands-on experience with Docker and Kubernetes.
• Strong understanding of microservices architecture and distributed systems.

Responsibilities

• Own end-to-end backend architecture and technical design.
• Define scalable microservices-based architectures.
• Drive technical roadmap planning aligned with business goals.
• Mentor and guide junior and mid-level engineers.

Skills

Node.js (JavaScript / TypeScript)

Microservices architecture

REST APIs

Cloud experience (AWS / Azure / GCP)

Containerization (Docker)

Kubernetes

SQL and NoSQL databases

AI-assisted code acceleration

CI/CD pipelines

Agile methodologies

Job description

Job Role

Job Role: Node.js - Modern Backend & AI-Enabled EngineeringTech Lead
Experience: 7 - 10+ years in Node.js development with exposure to cloud-native architecture and modern development tooling
Notice period: 15 days to immediate joiners
Hiring mode: Permanent
Work Mode: Hybrid
Job Location: Trivandrum / Kochi

Job Summary

We are seeking a highly skilled Node.js Tech Lead to drive the technical architecture, design, and delivery of scalable, cloud-native backend systems. This role combines deep hands-on expertise with technical leadership, ownership, and mentorship.

As a Tech Lead, you will be responsible for end-to-end backend architecture, technical decision-making, engineering best practices, and guiding teams to deliver secure, high-performance systems. You will also leverage modern AI-assisted development accelerators to enhance productivity and innovation while ensuring engineering rigor and quality.

Key Responsibilities

• Technical Leadership & Ownership
• Own end-to-end backend architecture and technical design for assigned projects or products.
• Define scalable microservices-based architectures and distributed system design patterns.
• Act as the technical decision authority and provide solution sign-off.
• Drive technical roadmap planning aligned with business goals.
• Identify and mitigate technical risks across delivery lifecycle.
• Serve as the technical escalation point for production issues and performance challenges.

Architecture & Development

• Design and develop scalable backend systems using Node.js (JavaScript / TypeScript).
• Work with frameworks such as Express.js, NestJS, or Fastify.
• Build secure, production-grade RESTful APIs and event-driven systems.
• Architect asynchronous processing, caching strategies, and message-driven systems.
• Ensure high availability, scalability, maintainability, and performance optimization.

Cloud & DevOps Engineering

• Design and deploy containerized applications using Docker.
• Orchestrate workloads using Kubernetes.
• Leverage cloud-native services (AWS, Azure, or GCP).
• Define and maintain CI/CD pipelines.
• Implement infrastructure automation using Terraform / CloudFormation / Pulumi.
• Ensure observability, logging, monitoring, and production readiness.

AI-Enabled Engineering

• Leverage AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, AI-based testing and analysis tools) responsibly to improve engineering productivity.
• Validate AI-generated code for correctness, performance, and security.
• Design and integrate AI-powered backend features such as LLM-based services, intelligent APIs, RAG workflows, or automation services when required.

Quality & Governance

• Conduct thorough code reviews and enforce engineering standards.
• Establish backend best practices covering security, performance, scalability, and maintainability.
• Ensure strong authentication and authorization implementation (OAuth2, JWT).
• Promote automated testing and code quality practices.

Team Leadership & Collaboration

• Mentor and guide junior and mid-level engineers.
• Support sprint planning, estimation, and backlog grooming from a technical perspective.
• Collaborate closely with product, frontend, DevOps teams, and stakeholders.
• Foster a culture of ownership, accountability, and continuous improvement.

Required Skills

• 7+ years of strong experience in Node.js (JavaScript / TypeScript).
• Proficiency in backend frameworks such as Express.js, NestJS, or Fastify.
• Strong understanding of microservices architecture and distributed systems.
• Expertise in REST APIs, async programming, background workers, and event-driven design.
• Hands-on experience with SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis).
• Experience with containerization (Docker) and orchestration (Kubernetes).
• Cloud experience in AWS / Azure / GCP.
• Practical experience using AI-assisted code accelerators such as GitHub Copilot, ChatGPT, AI-based linting/testing tools, or similar developer productivity platforms.
• Strong knowledge of authentication, authorization (OAuth2, JWT), and API security.
• Experience building scalable, high-availability systems.
• Working knowledge of CI/CD pipelines and DevOps practices.
• Solid in Design principles and Best practices - Scalability, Maintainability, Security and Performance optimizations.
• Agile mindset and familiarity with Jira, Git, GitHub/GitLab, Azure DevOps.

Good to Have

• Experience integrating AI/LLM services (OpenAI APIs, RAG workflows, vector search).
• Exposure to event streaming platforms like Kafka.
• Familiarity with vector databases (Pinecone, Weaviate, FAISS, ChromaDB).
• Experience mentoring teams in a services delivery environment.
• Contribution to open-source backend or AI-integrated projects.