Fullstack Lead

Worktual Innovations; Chennai District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Worktual Innovations in Chennai invites a hands-on Full Stack Lead to architect and deliver scalable enterprise software across frontend, backend, databases, and AI integrations.

You will mentor engineers, drive code quality, design real-time messaging systems, and collaborate with the Enterprise Solution Architect and product teams to ensure robust technical delivery.

Qualifications

• Hands-on experience leading frontend and backend delivery with real-time features.
• Strong skills in React/Next.js, TypeScript, and modern APIs (REST/GraphQL).
• Experience designing multi-tenant systems with security controls is a plus.

Responsibilities

• Lead end-to-end delivery of frontend, backend, and AI-enabled features.
• Mentor engineers, review code, and drive technical excellence.
• Architect scalable messaging systems (Redis, Kafka) and multi-tenant patterns.
• Collaborate with architecture, data, product, QA, and DevOps teams.

Skills

React

Next.js

TypeScript

WebSockets

Real-time messaging

Node.js

Tools

Redis

Kafka

PostgreSQL

MongoDB

Docker

Kubernetes

Job description

Full Stack Lead
Level: Lead / Senior Lead
Immediate joiners Prefered

Role Overview

Worktual is an AI-native customer engagement platform comprising CRM, Campaign Management, AI Native Contact Center, Lola Chatbot & Voice Bot, CDP, CVM, Web Tracking, Social Media Automation, and Ticketing.

As a Full Stack Lead, you will be a hands-on technical leader responsible for designing, developing, and delivering high-quality, scalable enterprise software across frontend, backend, databases, real-time communication systems, messaging infrastructure, and AI integrations. You will lead a team of engineers while actively coding, conducting reviews, and driving technical excellence.

Key Responsibilities

Technical Delivery & Development

• Lead end-to-end development of Frontend Applications, Backend Services, APIs, Business Logic, Databases, and AI-enabled features.
• Design and implement robust communication channels and messaging systems including Redis (caching, Pub/Sub, real-time messaging), Kafka (event streaming, high-throughput processing), REST & GraphQL APIs, WebSockets, and other asynchronous messaging patterns.
• Architect and build Multi-Tenant solutions with Row-Level Security (RLS), RBAC, MFA, Encryption, and Audit Logging.
• Develop real-time systems including Web Tracking, Chat, Voice, Campaign Engines, and Social Media Automation using appropriate communication technologies.

Integrations & Ecosystem

• Build and maintain integration connectors with CRM, CDP, ERP, Payment Systems, Social Platforms, Communication Platforms, and External AI Services using reliable messaging and API patterns.

AI Integration

• Implement LLM integrations, RAG pipelines, Conversational AI, Agentic Workflows, Lead Scoring, and AI Content Generation.

Quality & Engineering Practices

• Enforce high coding standards through code reviews, documentation, and design reviews.
• Drive CI/CD pipelines, automated testing, monitoring, logging, and observability.
• Promote responsible use of AI-assisted development with strong focus on security, quality, and architecture governance.

Leadership & Delivery

• Mentor and grow developers and technical team members.
• Lead sprint planning, estimation, risk management, and delivery tracking.
• Collaborate closely with the Enterprise Solution Architect, AI Team, Database Team, Product, QA, and DevOps.

Required Skills & Qualifications

Frontend

• React, Next.js, TypeScript, WebSockets, Responsive Design.

Backend & Communication Channels

• Strong expertise in messaging and communication systems:
  • Redis (caching, Pub/Sub, real-time messaging)
  • Kafka (event streaming, high-throughput processing)
  • REST APIs, GraphQL
  • WebSockets & real-time protocols
  • Asynchronous messaging patterns and microservices communication
• Node.js, Python (FastAPI/Django), Java (Spring Boot), Microservices architecture.

Database

• PostgreSQL (with Row-Level Security), MongoDB, Redis, Data Modeling & Performance Optimization.

Cloud & DevOps

• AWS / Azure / GCP, Docker, Kubernetes, CI/CD pipelines, Infrastructure as Code.