Java Engineer

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: PostgreSQL, MongoDB, Redis

4. AI Ecosystem 

Awareness of modern AI concepts including LLMs, RAG, AI Agents, and vector databases

Ability to integrate AI capabilities into enterprise applications securely and responsibly

Good Skills to have:  LangChain, 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