Java Springboot Developer at Infosys

Infosys
✓

Direct Tech Hiring • Verified Opening

📍 Trivandrum, Kerala, India 💼 Full-time 📈 Not Applicable 🏢 IT Services and IT Consulting

Apply on Company Website →

🔔 Instant Tech Job Alerts
Join 25,000+ job seekers for daily verified MNC & off-campus drives.

✈️ Telegram
💬 WhatsApp

About This Role & Detailed Responsibilities

3–5 years of hands-on experience in Java backend development. Strong proficiency in Java and Spring MVC framework. Solid experience working with MongoDB. Strong experience in AWS cloud services. Experience integrating LLM / GenAI APIs into applications. Familiarity with Docker and Kubernetes. Strong analytical and problem-solving skills. Develop and maintain backend applications using Java and Spring MVC. Design and implement scalable and efficient APIs and microservices. Work with MongoDB for data storage and management. Leverage AWS cloud services to build and deploy applications. Integrate LLM / GenAI APIs into existing or new applications. Collaborate with cross-functional teams to deliver high-quality solutions. Ensure application performance, scalability, and reliability. Troubleshoot and resolve technical issues effectively.

Ready to Take the Next Step in Your Career?

Apply on Company Website →

💬 Share with Friends on WhatsApp

🔍 Explore Related Job Openings:

• More Infosys Jobs & Careers in India →
• Browse All Fresh Off-Campus & MNC Tech Drives →

{
“@context”: “https://schema.org/”,
“@type”: “JobPosting”,
“title”: “Java Springboot Developer”,
“description”: “3u20135 years of hands-on experience in Java backend development. Strong proficiency in Java and Spring MVC framework. Solid experience working with MongoDB. Strong experience in AWS cloud services. Experience integrating LLM / GenAI APIs into applications. Familiarity with Docker and Kubernetes. Strong analytical and problem-solving skills. Develop and maintain backend applications using Java and Spring MVC. Design and implement scalable and efficient APIs and microservices. Work with MongoDB for data storage and management. Leverage AWS cloud services to build and deploy applications. Integrate LLM / GenAI APIs into existing or new applications. Collaborate with cross-functional teams to deliver high-quality solutions. Ensure application performance, scalability, and reliability. Troubleshoot and resolve technical issues effectively.”,
“datePosted”: “2026-08-26”,