Top Tech Jobs & Startup Jobs in Toronto

Develops, tests, debugs, and supports software features, services, and components for Microsoft products and platforms. Responsibilities include writing maintainable code, participating in code reviews, creating automated tests, improving system reliability and scalability, troubleshooting production issues, documenting designs, and collaborating with product managers, designers, and engineers in an agile environment.

Designs and delivers customer-facing AI transformation engagements, including strategy sessions, workshops, architecture design, and rapid prototypes. Leads solution architecture, discovery, strategic planning, cross-platform cloud integration, and technical sales collaboration. Advises customers on Azure AI technologies, application architecture, security, scalability, and performance while coordinating cross-functional teams. Builds technical expertise in Azure AI Foundry, Microsoft Fabric, agentic AI, DevOps automation, and emerging technology trends.

Leads organizational and operational change strategies for Microsoft technology and AI implementations. Responsibilities include assessing readiness, aligning executives and stakeholders, developing adoption, communication, training, feedback, and sustainment plans, measuring business value and ROI, mentoring change teams, and supporting consulting scope, presales, and delivery coordination.

Drive Microsoft Azure adoption and consumption across enterprise telecommunications customers. Lead sales engagements, identify cloud transformation opportunities, build business cases, orchestrate technical and partner resources, and guide application and data migration or modernization. Engage CXO-level decision makers, develop strategic customer relationships, close deals, remove deployment roadblocks, and lead virtual teams across infrastructure, data, and AI solutions.

Leads a team of solution engineers advising customers on cloud and artificial intelligence adoption. Oversees end-to-end solution design, demonstrations, proof-of-concept activities, resource planning, coaching, and customer engagement quality. Acts as a trusted technical advisor, coordinates experts and partners, and contributes customer insights to global technology strategies and offerings. Requires extensive technical pre-sales or consulting experience, cloud architecture expertise, and people management experience.

Design, develop, test, and maintain scalable distributed software and data movement services for Microsoft Fabric. Investigate issues using debugging, telemetry, logs, and monitoring; participate in root cause analysis, code reviews, design documentation, automated testing, and CI/CD. Collaborate with engineers, architects, product managers, designers, and partners to deliver secure, reliable, performant features and improve customer experiences.

Lead and grow a solution engineering team for AI-powered Dynamics 365 business solutions. Own technical win strategy, coach demos and solution design, partner with sales to convert pipeline, enable value assessments, manage proposals, and align with partners and Customer Success to achieve revenue and deployment outcomes.

Own the full sales engagement cycle for AI-powered business process solutions, including opportunity identification, account planning, executive relationship development, solution demonstrations, value propositions, pipeline creation, contract renewals, and customer success planning. Partner with account executives, engineers, marketing teams, and channel partners to drive adoption of Dynamics 365, Power Platform, and Copilot, achieve revenue targets, and advise customers on business transformation.