Java Solution Architect with Azure

About Northern Trust

As a global leader in innovative wealth management, asset servicing, asset management and banking services, Northern Trust (Nasdaq: NTRS) is proud to guide the world’s most successful individuals, families, corporations and institutions.

Since 1889, we have aligned our efforts with our three guiding Principles That Endure: Service, Expertise, and Integrity. Together, they reflect the three cornerstones of business conduct which we strive to instill in our employees, whom we call partners, and to provide to our clients and the communities we serve worldwide.

With more than 135 years of financial experience and over 24,000 partners, we serve the world’s most sophisticated clients using leading technology and exceptional service.

Job Description

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.

Key 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.