Verified Job
Engineering - Architecture
Prudent Technologies and Consulting, Inc. Java Architect :: Charlotte, NC or New Jersey :: 5 Day Ons
Engineering - Architecture
#802868
Remote / WFH
Prudent Technologies and Consulting, Inc.
Job Description
Job highlights
Identified by Google from the original job post
Qualifications
Java Architecture & Development
12+ years of hands-on experience in Java technologies with expertise in Java, Spring Boot, REST APIs, and enterprise application development
Extensive experience designing and implementing scalable microservices-based architectures and distributed systems
Automation & Engineering Productivity
Extensive experience in automation of development, testing, deployment, CI/CD pipelines, and operational processes
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
Agentic AI & Intelligent Automation
Exposure to Microsoft Power Apps/Power Platform
Technical Leadership
Proven ability to lead architecture decisions, mentor engineering teams, and engage with business and technology stakeholders
Responsibilities
Microservices & Distributed Systems
Event-Driven Architecture
Strong hands-on experience with Apache Kafka, messaging platforms, and event-driven integration patterns
Application Modernization & Upgrades
Proven experience leading migration and upgrade initiatives involving Java, Spring Boot, Tomcat, frameworks, and third-party dependencies
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
Low-Code Platforms
Job description
Hi,
Java Technical Architect w/ good exposure to AI
Location – Charlotte, NC or New Jersey :: 5 Day Onsite
• Java Architecture & Development
• 12+ years of hands-on experience in Java technologies with expertise in Java, Spring Boot, REST APIs, and enterprise application development.
• Microservices & Distributed Systems
• Extensive experience designing and implementing scalable microservices-based architectures and distributed systems.
• Event-Driven Architecture
• Strong hands-on experience with Apache Kafka, messaging platforms, and event-driven integration patterns.
• Application Modernization & Upgrades
• Proven experience leading migration and upgrade initiatives involving Java, Spring Boot, Tomcat, frameworks, and third-party dependencies.
• Automation & Engineering Productivity
• Extensive experience in automation of development, testing, deployment, CI/CD pipelines, and operational processes.
• 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.
• 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.
• Low-Code Platforms
• Exposure to Microsoft Power Apps/Power Platform
• 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.
Identified by Google from the original job post
Qualifications
Java Architecture & Development
12+ years of hands-on experience in Java technologies with expertise in Java, Spring Boot, REST APIs, and enterprise application development
Extensive experience designing and implementing scalable microservices-based architectures and distributed systems
Automation & Engineering Productivity
Extensive experience in automation of development, testing, deployment, CI/CD pipelines, and operational processes
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
Agentic AI & Intelligent Automation
Exposure to Microsoft Power Apps/Power Platform
Technical Leadership
Proven ability to lead architecture decisions, mentor engineering teams, and engage with business and technology stakeholders
Responsibilities
Microservices & Distributed Systems
Event-Driven Architecture
Strong hands-on experience with Apache Kafka, messaging platforms, and event-driven integration patterns
Application Modernization & Upgrades
Proven experience leading migration and upgrade initiatives involving Java, Spring Boot, Tomcat, frameworks, and third-party dependencies
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
Low-Code Platforms
Job description
Hi,
Java Technical Architect w/ good exposure to AI
Location – Charlotte, NC or New Jersey :: 5 Day Onsite
• Java Architecture & Development
• 12+ years of hands-on experience in Java technologies with expertise in Java, Spring Boot, REST APIs, and enterprise application development.
• Microservices & Distributed Systems
• Extensive experience designing and implementing scalable microservices-based architectures and distributed systems.
• Event-Driven Architecture
• Strong hands-on experience with Apache Kafka, messaging platforms, and event-driven integration patterns.
• Application Modernization & Upgrades
• Proven experience leading migration and upgrade initiatives involving Java, Spring Boot, Tomcat, frameworks, and third-party dependencies.
• Automation & Engineering Productivity
• Extensive experience in automation of development, testing, deployment, CI/CD pipelines, and operational processes.
• 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.
• 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.
• Low-Code Platforms
• Exposure to Microsoft Power Apps/Power Platform
• 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.
