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Fullstack Lead

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Onsite

Fullstack Lead

Worktual Innovations

Fullstack Lead

Skills

Google Cloud PlatformMongoDBNextDockerReactNodeTypescriptDjangoPythonJavaTesting & QAMicroservicesSpring BootPostgreSQLKafkaRedisGraphQLAIAWSKubernetesCRMFastAPIRisk ManagementAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Chennai, Tamil Nadu, India

Work mode:

Onsite

Published on:

11 August 2026

What they need


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.

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