A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create cutting-edge solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
Your Role And Responsibilities Lead End-to-End Architecture: Design and guide the transformation of legacy systems into modern, scalable, and cloud-native architectures across cloud platforms, including AWS, Azure, IBM Cloud, and Google Cloud.
Design Microservices and APIs: Create microservices, APIs, data models, and integration patterns that support modular, scalable, and maintainable applications.
Define Containerization Strategies: Develop containerization and orchestration strategies using Docker and Kubernetes to ensure secure,



resilient, and compliant systems.
Guide AI Adoption: Collaborate with development teams to integrate generative AI technologies, such as Watson and Azure OpenAI, into modernized applications.
Ensure Testing Governance: Develop and implement robust testing governance and performance optimization throughout the modernization lifecycle.
Preferred Education Master's Degree
Required Technical And Professional Expertise Microservices and API Design Expertise: Experience with creating microservices, APIs, data models, and integration patterns that support modular, scalable, and maintainable applications
Deep Expertise in Cloud-Native Architecture: Experience with designing and guiding the transformation of legacy systems into modern, scalable, and cloud-native architectures across cloud platforms, including AWS, Azure, IBM Cloud, and Google Cloud.
Containerization Strategy Development: Experience with developing containerization and orchestration strategies using Docker and Kubernetes to ensure secure, resilient, and compliant systems.
Generative AI Technology Integration: Experience with integrating generative AI technologies, such as Watson and Azure OpenAI, into modernized applications.
Testing Governance and Performance Optimization: Experience with developing and implementing robust testing governance and performance optimization throughout the modernization lifecycle.
Preferred Technical And Professional Experience Familiarity with Mainframe Z: Knowledge of legacy system integration approaches, patterns and implementations for hybrid cloud deployments and data migration.
Experience with other integration and real-time data platforms and vendors such as Boomi and Confluent
Understanding of Application Modernization Methods (AMM) and can facilitate the creation of effective modernization roadmaps and strategies.

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📌 Application Architect-MuleSoft (Ontario)
🏢 IBM
📍 Ontario