Java full stack with AI coding skills at Honeybee Tech… · Pune(Pune…

Java Full Stack Developer with AI Coding Skills

Client: BAGIC (Bajaj Allianz General Insurance)
Job ID: BAGI-15003
Position Type: Contractual
Experience: 3.1 5 Years
Budget: 6.5 LPA (+ up to 2 LPA based on experience)
Location: Viman Nagar, Pune
Work Mode: Work From Office (5 Days/Week)
Notice Period: Immediate Joiners Only
Interview Mode:

• Round 1: Virtual (Mandatory)
• Round 2: Face-to-Face (Mandatory)

Laptop: Mandatory for the interview

Job Description

We are looking for a skilled Java Full Stack Developer with hands-on experience in modern web development and AI-assisted coding tools. The ideal candidate should have strong backend and frontend development skills, cloud deployment experience on AWS, and familiarity with AI-powered developer productivity tools.

Key Responsibilities

• Develop and maintain scalable full-stack applications using Java and Spring Boot.
• Design and build responsive user interfaces using React.js or Vue.js.
• Develop and optimize PostgreSQL database schemas, queries, and stored procedures.
• Deploy, manage, and monitor applications on AWS.
• Write clean, efficient, and maintainable code following coding standards.
• Collaborate with cross-functional teams during design, development, testing, and deployment.
• Utilize AI-powered coding tools to improve development efficiency and code quality.
• Participate in code reviews, debugging, and performance optimization.

Mandatory Technical Skills

Backend

• Java
• Spring Boot
• REST APIs
• Microservices (preferred)

Frontend

• React.js or Vue.js
• HTML5
• CSS3
• JavaScript

Database

• PostgreSQL

Cloud

• AWS deployment
• Knowledge of AWS services and cloud concepts

AI Coding Skills (Mandatory)

Candidates should have hands-on experience with:

• Vibe Coding
• GitHub Copilot / Microsoft Copilot
• Other AI-assisted coding tools
• AI-assisted code generation, debugging, refactoring, and documentation

Required Experience

• 3.1 to 5 years of Full Stack Development experience.
• Strong coding and problem-solving skills.
• Hands-on experience deploying applications on AWS.
• Experience working with AI coding assistants in day-to-day development.
• Good understanding of software development lifecycle (SDLC).
• Excellent communication and teamwork skills.