Top Tech Jobs & Startup Jobs in Toronto

Coordinate short-duration IT projects involving service requests, infrastructure implementations, office relocations, and organizational changes. Define and document requirements, project scope, goals, plans, business cases, and status reports. Collaborate with technical teams and business stakeholders, manage deliverables and multiple concurrent projects, apply IT governance and project management methodologies, and ensure timely, compliant completion.

Lead Salesforce DevOps and enterprise release management across multiple environments and business teams. Design and maintain Copado-based CI/CD pipelines, manage deployments across Development, QA, UAT, and Production, and enforce Git, branching, and environment-management practices. Coordinate cross-functional release activities, troubleshoot deployment issues, support governance, rollback planning, release validation, and post-deployment processes, and improve deployment automation and release efficiency.

Lead backend architecture for an internal reporting and business intelligence platform. Own technical roadmaps, make cross-service architectural decisions, establish engineering standards, review designs and code, solve complex technical problems, coordinate dependencies, manage technical debt, partner across teams, mentor engineers, and contribute hands-on code for high-risk work.

Lead the architecture, development, and implementation of an enterprise-grade agentic AI orchestration platform. Build reusable AI components and intelligent agents using Claude, LangGraph, RAG, vector databases, MCP, prompt engineering, and multi-agent workflows. Develop scalable FastAPI APIs, ensure AI security and responsible AI practices, support enterprise or regulated data environments, and provide technical leadership across architecture and engineering efforts.

Design, develop, and maintain scalable web applications using the MERN stack. Build responsive front-ends with React, backend services with Node and Express, and manage MongoDB databases. Develop and consume RESTful APIs, integrate third-party services, implement authentication (JWT/OAuth), optimize performance, participate in Agile ceremonies and code reviews, and troubleshoot production issues.

Develops, tests, debugs, deploys, and supports enterprise mainframe applications using COBOL, JCL, DB2, VSAM, and CICS. Responsibilities include production troubleshooting, defect resolution, UAT support, implementation, post-deployment stabilization, stakeholder collaboration, and mentoring offshore development teams. The role also contributes to application modernization and continuous improvement initiatives. Healthcare application and claims adjudication experience is preferred.

Own CI/CD pipeline architecture, Salesforce sandbox and branching strategies, release governance, automated testing, and deployment processes across Salesforce environments. Introduce AI-assisted development and delivery tools to improve testing, code review, and deployment risk detection. Troubleshoot Salesforce deployment failures and manage metadata-heavy repositories using Git, Salesforce CLI, and DevOps platforms.

Design, develop, test, and deploy scalable full-stack applications. Build Python backends, TypeScript frontends (Angular/React), REST APIs and microservices, integrate databases, use AWS for deployment, contribute to CI/CD, troubleshoot production issues, and follow best practices and testing processes.

Design, develop, integrate, and maintain scalable web applications and backend services using .NET Core and Python. Build RESTful APIs and microservices, optimize database queries, implement security and authentication, support CI/CD and cloud deployments, participate in Agile/Scrum, perform testing and performance tuning, and produce technical documentation.

The AI Architect will design enterprise-grade AI solutions using Generative AI, LLMs, and orchestration frameworks, focusing on building scalable systems and developing production-ready applications.