Azure Cloud Architect with Java

Machine Intelligence Technologies, LLC; Natick (MA); On-site; USD 160,000 - 230,000; Full time

Job summary

MACHINE INTELLIGENCE TECHNOLOGIES LLC is seeking a senior Technical Architect to lead the rearchitecture of monolithic applications into robust microservices on Azure. You will drive containerization with Docker, orchestrate with Kubernetes, and shape API management in a large enterprise setting.

You will guide teams in Java/Spring Boot development, J2EE strategies, and modern cloud-native patterns, delivering scalable solutions with strong governance and DevOps integration.

Qualifications

• 15+ years in IT with cloud and architecture leadership.
• Proven ability to lead monoliths to microservices transformations.
• Strong experience with Azure cloud and DevOps practices.

Responsibilities

• Lead rearchitecting of monolithic apps into microservices.
• Define and govern cloud architecture on Azure (AKS, API Management).
• Mentor teams on Docker/Kubernetes adoption and best practices.
• Oversee API design, integration patterns, and DevOps pipelines.

Skills

Technical Architect

Microservices design

Docker

Kubernetes

Azure

Java (Spring Boot)

J2EE

API Management

Event Grid

Kafka

Tools

AKS (Azure Kubernetes Service)

Azure DevOps

Kafka

Event Grid

Job description

• 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

MACHINE INTELLIGENCE TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE INTELLIGENCE TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE INTELLIGENCE TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract