Top Tech Jobs & Startup Jobs in Toronto

Lead application systems analysis and programming to enhance the Onboarding Master Central platform, mentor developers, and ensure technical excellence.

Lead and execute strategic data analyses for banking platforms, develop models and visualizations, drive analytics initiatives, consult with business clients, manage system changes from requirements to implementation, coach junior staff, and ensure data quality, risk compliance, and alignment between business and IT.

Lead and implement scalable backend Java applications for a global client onboarding platform. Design, develop, test, and deploy microservices and RESTful APIs; improve performance and reliability; mentor mid-level developers; partner with stakeholders to integrate systems and deliver compliant, secure solutions.

Lead design and implementation of high-performance, fault-tolerant Java backend services and APIs for a large federated digital platform. Own backend architecture, security (SSO, OAuth2/OpenID Connect), cloud-native development (GCP/AWS, Docker, Kubernetes), data access, and integration patterns. Mentor senior engineers, drive production incident resolution, and collaborate with product, front-end, infrastructure, and security teams to deliver scalable, secure, resilient solutions at enterprise scale.

Lead and grow software engineering teams while hands-on designing and building large-scale, AI-driven applications and SRE platforms. Own architecture, implementation, reliability, and automation using cloud, microservices, and container orchestration. Mentor engineers, align work with business priorities, and deliver production-grade systems.

Lead a Services AI Platform engineering team as a hands-on technical lead: write production-grade Python/Angular code, design multi-tenant agentic ecosystems, build fine-tuning pipelines and RAG retrieval systems, integrate vector and graph databases, enforce clean architectures (MCP servers), and work with SMEs to deploy agent-driven business use cases.

Lead design, development, and deployment of high-performance Java/Spring applications with MongoDB. Integrate AI tools, agents, and Google ADK, implement CI/CD, mentor developers, and resolve complex system and business problems to deliver scalable microservices and APIs.

Lead design and development of middleware and microservices using Java and Spring Boot; optimize database interactions (Oracle, SQL, MongoDB); implement CI/CD with AI-driven testing and security; mentor engineers; integrate AI tools for code generation, testing, anomaly detection, and risk analytics; collaborate with cross-functional teams to deliver high-quality software.

Lead development and design of enterprise Java applications across frontend and backend. Drive architecture, coding standards, testing, and deployment; resolve complex problems; integrate systems; mentor mid-level developers; and ensure regulatory and policy compliance.

Design, develop, and maintain enterprise backend Java applications. Participate in analysis, design, testing, deployment, and support; optimize performance, secure systems, integrate with messaging platforms, mentor junior staff, and ensure compliance with policies and controls.