Hybrid
Senior
Full Time
Posted January 02, 2026
Tech Stack
java
azure-arc
microsoft-azure
serverless
kubernetes
docker
azure-api-management
azure-kubernetes-service-aks
azure-devops
spring
spring-boot
j2ee
azure-kubernetes-service
kafka
appcast
Job Description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Next Gen IT Inc, is seeking the following. Apply via Dice today!
**Role Java**
**Technical Lead/Architect (Hands on) with Azure**
**Location Hybrid - Natick, MA**
**Exp: 12+yrs**
Key Areas:
- Microservices architecture
- Serverless computing
- Containerizing applications
- Kubernetes
- Azure API gateways
- Application Side
**Key Project Details**
**Technical Architect - Monolithic to Microservices Migration**
We are seeking a skilled and experienced Technical Architect to lead the rearchitecting of our large-scale J2EE monolithic application into a Microservices architecture on the Azure cloud platform.
Core Requirements:
- Solid experience as a Technical Architect, leading the rearchitecting of monolithic applications into Microservices architecture.
- Strong expertise in containerization using Docker and container orchestration using Kubernetes.
- In-depth knowledge of Microservices architecture patterns, principles, and best practices.
- Hands-on experience with Azure cloud platform, including Azure API Management, Azure Kubernetes service (AKS) and Azure DevOps.
- Proficiency in Java development, particularly with Spring Boot framework for Microservices development.
- Strong understanding of J2EE technologies and frameworks.
Skill
Overall 15+ years of experience working in IT and at least 5-7 years of experience building cloud architecture with Azure and Microservices.
Expertise in: MS Azure cloud, API design & management, Java, Kubernetes, database systems, and serverless computing
Experience building cloud native solutions in a green field environment and modernizing brown field solutions in an enterprise setting.
Experience in implementing containerizes solution using Dockers and Azure Kubernetes Service
Experience in integration solutions using Kafka / Event Grid