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Skills
Amazon Web Services (AWS)unmatched
Apache Kafkaunmatched
Application Programming Interface (API)unmatched
Artificial Intelligence (AI)unmatched
Cloud Computingunmatched
Data Managementunmatched
Ecosystemsunmatched
GCP (Good Clinical Practices)unmatched
Javaunmatched
Message Brokerunmatched
Microservicesunmatched
Microsoft Windows Azureunmatched
NoSQLunmatched
Performance Tuning/Optimizationunmatched
RabbitMQunmatched
SQL (Structured Query Language)unmatched
Software Engineeringunmatched
Description
Qualifications & Skills
Experience: 5 to 8 years of professional experience in software engineering with a strong focus on backend development.
Core Languages: Deep expertise in Core Java, Java 17+, and the Spring ecosystem (Spring Boot, Spring Cloud, Spring Security).
AI & ML Exposure: Hands-on experience integrating AI/ML models into production applications. Familiarity with Spring AI, LangChain4j, or AI platform APIs is strongly preferred.
Data Management: Advanced knowledge of writing SQL queries, performance tuning, and working with NoSQL or Vector databases.
System Design: Solid understanding of microservices architecture, message brokers (Kafka, RabbitMQ), and cloud environments (AWS, Azure, or GCP).