Walk-in | JAVA Fullstack Lead with React & AI Expertise

Neurealm Company; Chennai District; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Neurealm Company is seeking an experienced Java Full Stack Engineer to join their Chennai-area team. The role demands hands-on expertise across backend Java (11/17+), Spring Boot, RESTful APIs, and microservices, complemented by modern frontend skills (Angular or React, HTML5, CSS3).

Exposure to GenAI/LLMs and cloud/deployments is highly valued. You will mentor engineers, collaborate with stakeholders, and help drive scalable software solutions in a fast-paced environment.

Qualifications

• 8+ years of professional software development experience with strong hands-on Java Full Stack expertise.
• Backend: Java 11/17+, Spring Boot, Spring Security, RESTful APIs, Microservices, Hibernate/JPA.
• Frontend: Modern JavaScript/TypeScript frameworks (Angular or React), HTML5, and CSS3.
• AI & GenAI: Practical exposure to LLM integration, consuming AI/Cognitive APIs, or utilizing AI-assisted/agentic coding environments.
• Cloud & DevOps: CI/CD pipelines, Git version control, Docker/Kubernetes, and cloud platforms (AWS).
• Soft Skills: Exceptional communication, stakeholder management, and proven experience mentoring engineering teams.

Skills

Java

Spring Boot

Spring Security

RESTful APIs

Microservices

Hibernate/JPA

Angular

React

JavaScript/TypeScript

HTML5/CSS3

LLM integration

AI APIs

AI-assisted coding

CI/CD

Git

Docker

Kubernetes

AWS

Communication

Stakeholder management

Mentoring

Tools

Docker

Kubernetes

Git

AWS

Job description

• 8+ years of professional software development experience with strong hands-on Java Full Stack expertise.
• Backend: Java (Java 11/17+), Spring Boot, Spring Security, RESTful APIs, Microservices, and Hibernate/JPA.
• Frontend: Modern JavaScript/TypeScript frameworks (Angular or React), HTML5, and CSS3.
• AI & GenAI: Practical exposure to LLM integration, consuming AI/Cognitive APIs, or utilizing AI-assisted/agentic coding environments.
• Cloud & DevOps: CI/CD pipelines, Git version control, Docker/Kubernetes, and cloud platforms (AWS)
• Soft Skills: Exceptional communication, stakeholder management, and proven experience mentoring engineering teams.