Java Technical Architect
Propertyvalue Prudent Technologies And Consulting
Charlotte, NC, United States
3 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
Artificial Intelligence
Apache Tomcat
Microsoft Azure
Cloud Computing
Distributed Systems
Python (Programming Language)
Enterprise Messaging Systems
Software Engineering
Enterprise Software Applications
GitHub Copilot
Spring-boot
+9 more
Event Driven Architecture
Kubernetes
Low-code
Apache Kafka
Virtual Agents
Restful APIs
Devsecops
Powerapps
Microservices
Requirements
- 12+ years of hands-on experience in Java technologies with expertise in Java, Spring Boot, REST APIs, and enterprise application development. 2. Microservices & Distributed Systems
- Extensive experience designing and implementing scalable microservices-based architectures and distributed systems. 3. Event-Driven Architecture
- Strong hands-on experience with Apache Kafka, messaging platforms, and event-driven integration patterns. 4. Application Modernization & Upgrades
- Proven experience leading migration and upgrade initiatives involving Java, Spring Boot, Tomcat, frameworks, and third-party dependencies. 5. Automation & Engineering Productivity
- Extensive experience in automation of development, testing, deployment, CI/CD pipelines, and operational processes. 6. AI-Assisted Software Engineering
- Hands-on experience leveraging GitHub Copilot or Devin, MCP (Model Context Protocol), and other AI-assisted development tools to improve engineering productivity. 7. Agentic AI & Intelligent Automation
- Exposure to designing, developing, and deploying enterprise-grade AI Agents/Agentic AI solutions using frameworks such as Copilot Studio, LangChain / LangGraph or Google ADK, with a track record of building production-ready agents. 8. Low-Code Platforms
- Exposure to Microsoft Power Apps/Power Platform 9. Technical Leadership
- Proven ability to lead architecture decisions, mentor engineering teams, and engage with business and technology stakeholders.
Preferred Experience: Python, Cloud platforms (Azure), Kubernetes, DevSecOps, and Banking/Financial Services domain experience.
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