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Java Architect

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Hybrid

Java Architect

Datagaps

Java Architect

Skills

Google Cloud PlatformSQL QueriesMongoDBDockerJavaMicroservicesSpring BootPostgreSQLMySQLKafkaRabbitMQJenkinsAIAWSGitHubKubernetesNo-code AutomationsOracleAzure

1 month ago

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Important information


Contract type:

Permanent

Salary:

₹2,500,000 – ₹4,000,000 / year

Location:

Hyderabad, Telangana, India

Work mode:

Hybrid

Published on:

15 September 2026

What they need


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Job Summary

We are looking for an experienced Java Architect with 10+ years of expertise in designing and building scalable enterprise applications using Java, Spring Boot, Microservices, Event-Driven Architecture, and Cloud-Native Technologies.

The ideal candidate should possess strong hands-on experience in Spring Security/Auth, Kafka, RabbitMQ, Spring Batch, REST APIs, Design Patterns, Multithreading, Database Schema Design, and modern AI/GenAI technologies such as RAG (Retrieval-Augmented Generation), LLM integrations, AI Agents, and Enterprise AI solutions.

The role requires technical leadership, architecture ownership, solution design, performance optimization, and mentoring engineering teams while driving innovation in AI-enabled enterprise platforms.

Key Responsibilities

Architecture & Solution Design

  • Design scalable, secure, and high-performance enterprise applications.
  • Define application architecture, integration standards, coding best practices, and technical roadmaps.
  • Design microservices-based architectures using Spring Boot.
  • Lead architecture reviews and provide technical governance.
  • Create low-level and high-level design documents.

Java & Spring Ecosystem

  • Develop and architect solutions using Java 8/11/17+.
  • Design RESTful APIs and service-oriented architectures.
  • Implement Spring Boot, Spring Security, Spring Authorization Server, and Spring Batch solutions.
  • Optimize application performance, scalability, and reliability.
  • Lead framework modernization initiatives.

Event-Driven & Messaging Systems

  • Design and implement event-driven architectures using:

  • Apache Kafka

  • RabbitMQ

  • Build asynchronous and distributed systems.

  • Ensure fault tolerance, resilience, and high availability.

AI & Generative AI

  • Design and implement AI-powered enterprise solutions.
  • Build RAG-based applications integrating enterprise knowledge bases.
  • Integrate OpenAI, Azure OpenAI, Claude, Gemini, or open-source LLMs.
  • Develop AI Agents and intelligent workflow automation solutions.
  • Design vector-search and semantic-search architectures.
  • Create AI-assisted productivity, search, and recommendation systems.

Database & Schema Design

  • Design scalable database schemas and data models.
  • Perform data architecture reviews.
  • Optimize SQL queries and database performance.
  • Implement best practices for database scalability and security.

Concurrency & Performance

  • Implement multithreading and concurrent programming solutions.
  • Optimize JVM performance and garbage collection.
  • Conduct performance tuning and troubleshooting.
  • Design high-throughput and low-latency systems.

Leadership & Client Engagement

  • Lead development teams and mentor engineers.
  • Collaborate with product owners, architects, and stakeholders.
  • Participate in customer discussions and technical presentations.
  • Drive estimation, planning, and delivery of enterprise projects.

Required Skills

Core Java

  • Java 8/11/17+
  • Collections Framework
  • Streams API
  • JVM Internals
  • Multithreading
  • Concurrent Programming
  • Memory Management

Spring Framework

  • Spring Boot
  • Spring Security
  • Spring Authorization Server
  • Spring Batch
  • Spring Data JPA
  • Spring Integration

Integration & Messaging

  • Apache Kafka
  • RabbitMQ
  • REST Services
  • Web Services
  • Event-Driven Architecture

Design & Architecture

  • Microservices Architecture
  • Design Patterns
  • SOLID Principles
  • Domain-Driven Design (DDD)
  • Distributed Systems
  • API Gateway
  • Service Discovery

AI & GenAI

  • Generative AI
  • RAG Architecture
  • LLM Integration
  • AI Agents
  • LangChain
  • Vector Databases
  • Semantic Search
  • Prompt Engineering

Database Technologies

  • PostgreSQL
  • Oracle
  • MySQL
  • MongoDB
  • Schema Design
  • Query Optimization

Cloud & DevOps

  • Azure / AWS / GCP
  • Docker
  • Kubernetes
  • Jenkins
  • GitHub
  • CI/CD Pipelines

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