TECHNICAL LEAD - Java
Role Overview
This is for JAVA + Ai
1. 8-12 Experience A backend- developer who can build and maintain server-side architecture, databases, and APIs while managing essential front-end integrations to deliver complete web applications
2.
Design ,Build Services-&Create scalable microservices using Java, Spring Boot, and Spring Cloud.
3.
Implement Distributed Patterns Manage service discovery, API gateways.
4.Event-Driven Integration Connect services using message brokers like Kafka or messaging queues.
5.Containerization Deployment Deploy and orchestrate services using Docker and Kubernetes (AKS/EKS).
6.
Develop Autonomous Agents -Build intelligent agents capable of task automation, reasoning loops , and decision-making.
Orchestrate Workflows - Set up multi-agent collaboration patterns, routing, and prompt chaining.
7.Vector RAG Integration - Integrate Retrieval-Augmented Generation (RAG) architectures and vector databases (e.g., Azure AI Search) with Java backends.
8.
API Connectivity - Link LLM providers securely via REST APIs Track agent behaviors, system latency, and failure rates in production environments.
9.Partner with DevOps teams to automate testing and streamline deployments
Full Job Posting
Job Description
This is for JAVA + Ai
8-12 Experience A backend- developer who can build and maintain server-side architecture, databases, and APIs while managing essential front-end integrations to deliver complete web applications
Design ,Build Services-&Create scalable microservices using Java, Spring Boot, and Spring Cloud.
Implement Distributed Patterns Manage service discovery, API gateways.
\4.Event-Driven Integration Connect services using message brokers like Kafka or messaging queues.
\5.Containerization Deployment Deploy and orchestrate services using Docker and Kubernetes (AKS/EKS).
Develop Autonomous Agents -Build intelligent agents capable of task automation, reasoning loops , and decision-making. Orchestrate Workflows - Set up multi-agent collaboration patterns, routing, and prompt chaining.
\7.Vector RAG Integration - Integrate Retrieval-Augmented Generation (RAG) architectures and vector databases (e.g., Azure AI Search) with Java backends.
API Connectivity - Link LLM providers securely via REST APIs Track agent behaviors, system latency, and failure rates in production environments.
\9.Partner with DevOps teams to automate testing and streamline deployments
Reference Number
PEPPGS01-177-1
About Happiest Minds Technologies
Public Indian digital engineering and IT services company helping enterprises modernize through product engineering, cybersecurity, analytics, and automation.
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