Azure Cloud Architect with Java

MACHINE LEARNING TECHNOLOGIES LLC; Natick (MA); On-site; USD 150,000 - 230,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Natick, MA seeks an Azure Cloud Architect to lead the transformation of monolithic applications into a scalable microservices platform. The role includes containerized solutions with AKS and managing Java/Spring Boot services.

You will coordinate with cloud and integration teams, design API management with Azure, and enable event-driven integration with Kafka or Event Grid while delivering secure, scalable cloud solutions.

Qualifications

• 15+ years of IT experience, including Azure cloud architecting
• Proven track record as a Technical Architect or lead re‑architecture projects
• Strong knowledge of micro‑services patterns and best practices
• Proficiency with Docker and Kubernetes containerization
• Hands‑on experience with Azure services: AKS, API Management, DevOps

Responsibilities

• Lead re-architecting of monolithic apps into microservices architecture
• Design and implement containerized solutions using Docker and AKS
• Develop and manage microservices using Java and Spring Boot
• Collaborate on API management using Azure API Management
• Implement integration solutions using Kafka or Azure Event Grid
• Utilize databases, serverless computing, and Azure DevOps pipelines for secure, scalable cloud solutions

Skills

Cloud architecture

Azure expertise

Microservices

Java/Spring Boot

Leadership

DevOps practices

Tools

Docker

Kubernetes

AKS

Azure API Management

Azure DevOps

Kafka

Azure Event Grid

Job description

Job Overview

Azure Cloud Architect – Java (Job ID: J52400). Location: Natick, MA. Duration: 24 months with the possibility of extension. Employment type: W-2, 1099, or C2C. Hourly rate: DOE. Work authorization required: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD. Client: To be discussed later.

Responsibilities

• Lead re-architecting of monolithic applications into micro‑services architecture.
• Design and implement containerized solutions using Docker and Azure Kubernetes Service (AKS).
• Develop and manage micro‑services using Java and Spring Boot.
• Collaborate with cloud and integration teams to design API management using Azure API Management.
• Implement integration solutions using Kafka or Azure Event Grid.
• Leverage database systems, serverless computing, and Azure DevOps pipelines to deliver secure, scalable cloud solutions.

Qualifications

• 15+ years of IT experience, including 5‑7 years of architecting cloud solutions on Azure.
• Solid experience as a Technical Architect, leading re‑architecture projects.
• Strong knowledge of micro‑services patterns, principles, and best practices.
• Proficiency in containerization with Docker and orchestration with Kubernetes.
• Hands‑on experience with Azure cloud platform: AKS, API Management, DevOps, and related services.
• Proficient in Java development with Spring Boot framework.
• Strong understanding of J2EE technologies and frameworks.
• Experience with database systems, serverless computing, and modernizing brown‑field solutions.

Equal Opportunity Statement

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans. Hiring, promotion, compensation, and other employment decisions are made without regard to any protected status and comply with applicable laws. (M/F/D/V).