Java Solution Architect with Azure

Job Summary

We are seeking an experienced Java Solution Architect to lead the re-platforming and modernization of mission-critical IBM DB2/Mainframe applications onto Microsoft Azure. The role will drive target-state architecture, application modernization, cloud-native design, integration strategies, and Infrastructure-as-Code standards while ensuring scalable, secure, resilient, and business-aligned solutions.

The ideal candidate will bring deep expertise in Java enterprise application architecture, Azure cloud platforms, legacy modernization, microservices transformation, and large-scale re-platforming initiatives, with a proven track record of migrating monolithic and mainframe-based systems to modern cloud-native architectures.

Responsibilities

Application Modernization Re-platforming

• Define the target architecture and modernization roadmap for migrating Mainframe/DB2 applications to Azure.
• Lead re-platforming initiatives transforming legacy applications into cloud-native, microservices-based architectures.
• Define modernization patterns including decomposition, service extraction, API enablement, and event-driven architectures.
• Balance business continuity, risk, scalability, cost, and operational efficiency during transformation programs.

Java Microservices Architecture

• Design enterprise-grade solutions using Java 21, Spring Boot, Spring Batch, Spring Cloud, and RESTful APIs.
• Define microservices architecture standards, domain boundaries, integration contracts, and service governance.
• Architect batch, real-time, and event-driven processing solutions.
• Design reusable frameworks, shared services, and engineering standards to accelerate modernization efforts.
• Establish best practices for application scalability, resiliency, fault tolerance, and performance optimization.

Azure Cloud Architecture

• Architect cloud-native solutions leveraging Azure services including:
  • AKS (Azure Kubernetes Service) and Docker
  • Azure Functions
  • API Management
  • Azure Data Factory
  • Event Hub / Service Bus
  • Azure Storage Services
• Design hybrid integration patterns between mainframe and Azure environments
• Establish cloud architecture standards covering security, scalability, observability, and operational excellence.

DevOps, Automation Infrastructure

• Define and implement Infrastructure as Code (IaC) using Terraform (Mandatory).
• Working knowledge of integrating CI/CD pipelines using Azure DevOps and GitHub Actions.
• Establish DevSecOps practices including automated testing, security scanning, deployment automation, and monitoring.
• Drive cloud cost optimization and operational efficiency initiatives.

Technology Leadership AI Adoption

• Provide architecture leadership, governance, and technical direction across modernization programs.
• Conduct architecture reviews, design assessments, and technology evaluations.
• Drive adoption of AI-assisted software engineering and architecture practices.
• Evaluate and integrate AI/GenAI capabilities to improve developer productivity, operational automation, and business outcomes.
• Ensure responsible, secure, and compliant adoption of AI technologies.

Required Skills Experience

• 14+ years of experience in Solution Architecture, Application Architecture, or Enterprise Architecture.
• Strong experience leading large-scale application re-platforming and modernization programs.
• Expert-level experience in:
  • Java 21
  • Spring Boot
  • Spring Cloud
  • Microservices Architecture
  • API Design Integration
• Extensive experience migrating applications from:
  • Monolithic to Microservices
  • On-Premises to Azure
• Deep expertise in Azure cloud architecture and platform services.
• Hands-on expertise with Terraform (Mandatory) and Infrastructure as Code practices.
• Strong experience with:
  • Azure DevOps / GitHub Actions
  • Kubernetes (AKS preferred) and Docker
  • CI/CD Architecture
  • DevSecOps
• Experience with:
  • Event-driven architectures
  • Kafka / Event Hub
  • Service Bus
  • CDC and Data Synchronization
• Strong understanding of distributed systems, scalability, resiliency, and cloud-native design patterns.
• Experience working with DB2, PostgreSQL, and enterprise data integration patterns.
• Demonstrated experience leveraging AI/GenAI technologies in software engineering, architecture, or modernization initiatives.
• Excellent stakeholder management, communication, and leadership skills.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.