Java Developer
Agile, Web Services, JAVA, Spring Boot, Microservices Nice To Have Additional Skills * Advanced level of knowledge and production experience in backend development Java 8/11, Spring Boot, REST APIs, Microservices, Azure Fundamental, including hands-on experience deploying production-grade REST APIs using frameworks like FastAPI , Flask, or Django. * API Design Strong knowledge of designing and implementing RESTful APIs, including understanding of HTTP methods, request/response structures, and API security practices. * AI Integration Experience working with AI models, including deploying and managing model inference in backend systems. * AI application development Experience with LLM frameworks such as Langchain / Langgraph.Database Management Proficiency in working with SQL and NoSQL databases such as PostgreSQL, MySQL, or MongoDB, including designing efficient database schemas and query optimization. * Cloud Platforms Experience with deploying backend services on cloud platforms such as AWS, GCP, or Azure. Docker, Kubernetes, and CI/CD pipelines.
Job Description
Role- Java Developer
Must Have skills- Agile, Web Services, JAVA, Spring Boot, Microservices
Nice To Have Additional Skills * Advanced level of knowledge and production experience in backend development Java 8/11, Spring Boot, REST APIs, Microservices, Azure Fundamental, including hands-on experience deploying production-grade REST APIs using frameworks like FastAPI , Flask, or Django. * API Design Strong knowledge of designing and implementing RESTful APIs, including understanding of HTTP methods, request/response structures, and API security practices. * AI Integration Experience working with AI models, including deploying and managing model inference in backend systems. * AI application development Experience with LLM frameworks such as Langchain / Langgraph.Database Management Proficiency in working with SQL and NoSQL databases such as PostgreSQL, MySQL, or MongoDB, including designing efficient database schemas and query optimization. * Cloud Platforms Experience with deploying backend services on cloud platforms such as AWS, GCP, or Azure. Docker, Kubernetes, and CI/CD pipelines.