Java Technical lead

Job Description:

Role- Java Technical Lead

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.

Job Description:

Role- Java Technical Lead

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.