Java developer
Summary
Builds and deploys Java-based backend services using Spring Boot, REST APIs, and microservices, with AI integration and cloud deployment on Azure/AWS/GCP.
Java Developer (CREQ262633)
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 Fast API, 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 No SQL databases such as Postgre SQL, My SQL, or Mongo DB, 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.
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 Fast API, 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 No SQL databases such as Postgre SQL, My SQL, or Mongo DB, 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.