1. Core Java Expertise (Kotlin is a plus)Strong in Core Java, multithreading, collections, JVM concepts, and performance tuning. Ability to write clean, scalable, and secure enterprise-grade code. Kotlin knowledge is an added advantage for modern backend development. Tech Stack: Java 17 , Kotlin, Maven/ Gradle, JUnit 2. Spring Boot & Microservices. Strong hands-on experience with Spring Boot frameworks and microservices architecture. Knowledge of distributed systems, resiliency patterns, and event-driven architecture. Ability to design scalable and loosely coupled services. Key Skills: REST APIs, Kafka,Good to have: Circuit Breaker, Saga, Docker, Kubernetes 3. Cloud-Native & Database Engineering. Understanding of cloud-native principles and scalable backend design. Hands-on experience with SQL and NoSQL databases. Strong in database design patterns, performance optimization, caching, and scalability. Tech Stack: Postgre. SQL, MongoDB, Redis 4. AI Ecosystem Knowledge. Awareness of modern AI concepts including LL - Ms, RAG, AI Agents, and vector databases. Ability to integrate AI capabilities into enterprise applications securely and responsibly. Good Skills to have: Lang. Chain, Prompt Engineering, Semantic Search 5. API Strategy & Enterprise Integration. Strong understanding of API-first architecture and enterprise integration patterns. Ability to design secure, reusable, and scalable APIs with proper governance Mandatory Skills: Fullstack Java Enterprise . Experience: 5-8 Years .