Full Stack Architect

Location: Toronto, ON

Work Mode: Hybrid

We are seeking an experienced Full Stack Architect to join our Financial Crimes Architecture team. The ideal candidate will be responsible for defining enterprise architecture strategies, designing scalable and secure full-stack solutions, and driving modernization initiatives across fraud detection, investigation, and response platforms. This role requires expertise in cloud-native architecture, microservices, event-driven systems, enterprise integrations, AI/ML, and case management platforms such as Pega .

• Define and drive end-to-end architecture for enterprise Financial Crimes and Fraud Management solutions.
• Design scalable, secure, resilient, and high-performance full-stack application architectures.
• Collaborate with business stakeholders, architects, engineering teams, and vendors to translate business requirements into technical solutions.
• Design enterprise solutions using Microservices, Event-Driven Architecture (EDA), SOA, and API-first principles .
• Develop architecture blueprints, reference architectures, solution patterns, and technical roadmaps.
• Design cloud-native solutions across Azure, AWS, GCP, On-Premises, and Hybrid Cloud environments.
• Architect real-time event streaming solutions using Kafka and Azure Event Hubs .
• Lead architecture reviews and recommend technology solutions aligned with enterprise standards.
• Design secure integration patterns, messaging frameworks, authentication, and authorization mechanisms.
• Define database strategies utilizing Relational, NoSQL, and Graph databases .
• Provide architecture guidance for Pega Case Management and enterprise investigative platforms.
• Ensure application scalability, resiliency, observability, disaster recovery, and operational excellence.
• Mentor development teams and provide technical leadership throughout the software development lifecycle.

• 10+ years of experience in Enterprise Solution Architecture or Full Stack Architecture.
• Strong expertise in Java, Spring Boot, Microservices, REST APIs, and Enterprise Integration .
• Deep understanding of Fraud Detection, Financial Crimes, Investigation, and Response domains.
• Strong knowledge of:
  • Service-Oriented Architecture (SOA)
  • Microservices Architecture
  • Event-Driven Architecture (EDA)
  • Integration Architecture
  • Security Architecture
  • AI/ML architecture concepts
• Hands-on experience with Kafka , Azure Event Hubs , and enterprise messaging platforms.
• Experience with Kubernetes , containerization, and cloud-native deployments.
• Strong expertise in Azure, AWS, GCP , and Hybrid Cloud architectures.
• Experience with relational, NoSQL, and graph databases.
• Knowledge of application resiliency, scalability, disaster recovery, and high availability.
• Experience with Pega Case Management , Claims Management, or enterprise investigative platforms.
• Excellent communication, presentation, and stakeholder management skills.

• Experience with AI/ML-enabled fraud detection platforms.
• Knowledge of DevSecOps, CI/CD, Infrastructure as Code, and cloud security.
• Experience with enterprise observability and monitoring platforms.
• TOGAF, Azure, AWS, or Google Cloud certifications are an advantage.
• Experience in Banking, Financial Services, or Capital Markets.

• Strong leadership and architecture governance capabilities.
• Excellent stakeholder management and executive communication skills.
• Ability to manage multiple strategic initiatives simultaneously.
• Strong analytical, decision-making, and problem-solving skills.
• Experience mentoring architects and engineering teams.