Java Architect
Datagaps
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Job summary
Datagaps is seeking an experienced Java Architect to lead the design and delivery of scalable enterprise applications. You will shape architecture, define standards, and drive microservices with Spring Boot while leveraging event-driven patterns and cloud-native principles.
The role emphasizes security, performance, and mentoring teams, with exposure to AI-enabled workflows such as RAG, LLM integrations, and AI Agents to build next-generation enterprise platforms.
Qualifications
- Experience designing scalable enterprise applications with Java 8/11/17+.
- Hands-on in Spring Security/Auth, Kafka, RabbitMQ, Spring Batch, REST APIs, and multithreading.
- Knowledge of AI/GenAI tech such as RAG, LLM integrations, AI Agents, and enterprise AI solutions.
- Leadership experience: architecture ownership, design governance, and mentoring teams.
Responsibilities
- Design scalable, secure, high-performance enterprise apps.
- Define architecture, integration standards, roadmaps, and governance.
- Lead microservices architecture using Spring Boot and APIs.
- Guide AI-enabled enterprise solutions with RAG, LLMs, and AI Agents.
- Design scalable DB schemas; optimize queries and ensure security.
- Improve JVM performance, concurrency, and system throughput.
- Mentor engineers and collaborate with stakeholders.
Skills
Tools
Job description
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.
- 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.
- 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.
- Design and implement event-driven architectures using:
- Apache Kafka
- RabbitMQ
- Build asynchronous and distributed systems.
- Ensure fault tolerance, resilience, and high availability.
- 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.
- 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.
- Implement multithreading and concurrent programming solutions.
- Optimize JVM performance and garbage collection.
- Conduct performance tuning and troubleshooting.
- Design high-throughput and low-latency systems.
- 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.
- Java 8/11/17+
- Collections Framework
- Streams API
- JVM Internals
- Multithreading
- Concurrent Programming
- Memory Management
- Spring Boot
- Spring Security
- Spring Authorization Server
- Spring Batch
- Spring Data JPA
- Spring Integration
- Apache Kafka
- RabbitMQ
- REST Services
- Web Services
- Event-Driven Architecture
- Microservices Architecture
- Design Patterns
- SOLID Principles
- Domain-Driven Design (DDD)
- Distributed Systems
- API Gateway
- Service Discovery
- Generative AI
- RAG Architecture
- LLM Integration
- AI Agents
- LangChain
- Vector Databases
- Semantic Search
- Prompt Engineering
- PostgreSQL
- Oracle
- MySQL
- MongoDB
- Schema Design
- Query Optimization
- Azure / AWS / GCP
- Docker
- Kubernetes
- Jenkins
- GitHub
- CI/CD Pipelines
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