Product Engineer (2025 Grads.)

Hiring CS/IT Graduates to be part of a young and leading Enterprise SaaS Product Company that’s redefining the Loyalty domain!

At Loyalty Juggernaut, we’re on a mission to revolutionize customer loyalty through AI-driven SaaS solutions. We are THE JUGGERNAUTS, driving innovation and impact in the loyalty ecosystem with GRAVTY®, our SaaS Product that empowers multinational enterprises to build deeper customer connections. Designed for scalability and personalization, GRAVTY® delivers cutting-edge loyalty solutions that transform customer engagement across diverse industries including Airlines, Airport, Retail, Hospitality, Banking, F&B, Telecom, Insurance and Ecosystem.

Visit www.lji.io to know more about us.

As a Product Engineer, you will own the end-to-end software development lifecycle involving technical design, Implementation, Deployment, Support and Optimizing software solutions. Yours

• Collaborate with the Business teams, Product teams and Clients to understand business scenarios and customer pain points
• Tackle complex technical challenges and build highly functional cutting-edge product features
• Own the complete product delivery across the full tech stack
• Continuously improving product performance and user experience

To be successful in this role, you should be a meritorious student from a college of repute and have

• Bachelor's/Master's degree in CS/IT Engineering, class of 2025
• Min. 7 CGPA score with no backlogs
• Excellent programming skills either in Java or Python
• Strong academic performance in data structures and algorithms
• Demonstratable programming and application skills in academic projects - Java/Python/Rest APIs/PostgreSQL/similar
• Confident communication skills

Our Tech Stack:

• Java(Springboot)
• Python(Django)
• PostgreSQL
• AI/ML
• REST, web services
• Angular, Javascript, HTML
• Jenkins, Maven, Git, Ansible
• AWS

While we encourage eligible candidates to apply, this role requires more than just theoretical knowledge. If you are limited to academic or conceptual understanding without practical application, this may not be the right fit.