Job highlights

- Extensive experience in Java backend development with expertise in Spring Boot, reactive programming, Project Reactor, Amazon DynamoDB, Generative AI and LLM integrations using Spring AI, and familiarity with MCP and AWS Bedrock

- Develop and maintain microservices, build and consume REST APIs, integrate AI agents and LLM platforms, implement event-driven architectures using Kafka, and ensure robust testing and security in cloud-native AWS environments

Role & responsibilities

- 68 years of experience in Java backend development and microservices.

- Strong hands-on experience with Java, Spring Boot, and Spring WebFlux.

- Good understanding of reactive programming, asynchronous data flows, and Project Reactor.

- Hands-on experience building and consuming REST APIs and integrating with external services.

- Strong experience with Amazon DynamoDB, including data modeling, partition/sort keys, indexes, query patterns, and performance optimization.





- Hands-on or practical experience with Generative AI and LLM integrations, preferably using Spring AI.

- Understanding of Agentic AI concepts, including AI agents, tools/functions, tool calling, and orchestration.

- Experience or familiarity with MCP (Model Context Protocol), including developing or integrating MCP servers and tools.

- Understanding of HTTP-based communication and Server-Sent Events (SSE) for AI/agent interactions and streaming responses.

- Experience integrating with AWS Bedrock or similar enterprise LLM platforms.

- Experience with Kafka and event-driven microservices architecture.

- Familiarity with Docker, Git, and CI/CD pipelines.

- Good knowledge of unit/integration testing, error handling, exception management, and API security.

- Strong debugging, analytical, and problem-solving skills.

- Valuable understanding of cloud-native application development, preferably on AWS.

📌 Spring AI Developer (Hyderabad)
🏢 Nisum
📍 Hyderabad