Java Full Stack Lead

Cloudxtreme

Coimbatore District, Bengaluru, Mumbai

Hybrid

INR 800,000 - 1,200,000

Full time

14 days+
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Job summary

Cloudxtreme is looking for a Custom Software Engineer in Coimbatore District, Tamil Nadu, to develop custom software solutions using modern frameworks and agile practices. The role requires at least 7 years of experience and a strong foundation in enterprise engineering and SDLC.

You'll work closely with architects to deliver scalable, high-performing solutions that drive productivity and organizational value. Familiarity with Java, frameworks like React/Angular/Vue.js, and AI-assisted development tools is essential.

Qualifications

  • Minimum 7 years of experience is required.
  • Strong foundation in enterprise engineering, SDLC, and domain workflows.
  • Practical knowledge of AI concepts and limitations with a focus on integration.

Responsibilities

  • Develop custom software solutions using modern frameworks and agile practices.
  • Build full-stack enterprise applications with AgentAI tools.
  • Work closely with architects and AI-native specialists for seamless integration.

Skills

Java Full Stack Development
AI-assisted development tools
Java (Spring Boot)
React / Angular / Vue.js
TypeScript / JavaScript
SQL / NoSQL
REST / GraphQL APIs
Cloud-native development
CI/CD pipelines

Education

15 years full-time education

Job description

Project Role

Custom Software Engineer

Project Role Description

Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.

Must Have Skills

Java Full Stack Development

Good to Have Skills

NA

Experience

Minimum 7 years of experience is required.

Educational Qualification

15 years full-time education.

Role Summary

Build full-stack enterprise applications using AgentAI tools for accelerated coding, testing, and integration. Deliver immediate organizational value through productivity uplift and reduced reliance on scarce AI-native talent.

Key Responsibilities
Hands-on Development
  • Use AgentAI copilots and LLM tools for rapid coding, debugging, and documentation.
  • Develop front-end and back-end components with seamless integration.
  • Integrate pre-built AI services and APIs into applications; implement RAG-based features where relevant.
Quality & Speed
  • Combine AI-assisted productivity with engineering best practices to deliver robust, scalable solutions.
Collaboration
  • Work closely with architects and AI-native specialists to ensure seamless integration and adoption.
Must-Have Qualifications
  • Strong foundation in enterprise engineering, SDLC, and domain workflows.
  • Experience using AI-assisted development tools (copilots, LLM-based coding assistants).
  • Practical knowledge of AI concepts and limitations with a focus on integration, not model training.
  • Ability to accelerate delivery without compromising quality.
Programming & Full-Stack Skills
Backend
  • Java (Spring Boot)
Frontend
  • React / Angular / Vue.js
  • TypeScript / JavaScript
Additional
  • SQL / NoSQL
  • REST / GraphQL APIs
  • Cloud-native development
  • CI/CD pipelines
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