Top Tech Jobs & Startup Jobs in Vancouver

Design, implement, and operate scalable, reliable components of distributed messaging and control-plane infrastructure for Azure Messaging. Write production-ready code, optimize performance, perform code reviews, apply testing and reliability practices, and collaborate across teams to support deployment and live-site operations.

Design, build, and operate high-throughput data movement and replication services for Microsoft Fabric. Lead architecture, write and review maintainable code, debug and monitor systems, drive testing and automation, identify dependencies, and collaborate with stakeholders to ensure reliability, performance, security, and customer-focused metrics.

Lead and develop a team of Solution Engineers to drive customer Cloud and AI adoption. Coach staff, build stakeholder and partner relationships, manage pipeline and forecasting, support technical pre-sales engagements, and align resources to deliver business outcomes while promoting continuous learning and industry best practices.

Design and architect scalable browser-based developer experiences for a SaaS data platform. Lead front-end architecture, write and review code, ensure test coverage, security, reliability, telemetry, and automated deployments. Collaborate with UX, PM, and backend teams, own architectural decisions, incident response, and drive engineering excellence across the product lifecycle.

Design, build, and operate high-scale data movement and replication services for Microsoft Fabric. Lead architecture, code quality, debugging, testing, and cross-team dependency planning. Mentor peers, drive reliability, performance, and observability, and ensure security and compliance for distributed systems.

Design and operationalize enterprise AI and agent governance frameworks, policies, controls, and operating models. Assess governance maturity, establish accountability and decision rights, implement responsible AI, security, privacy, compliance, identity, data protection, monitoring, and assurance capabilities, and advise executives on AI risk. Lead cross-functional customer engagements, translate regulations into operational guardrails, leverage Microsoft governance and security platforms, and transfer governance practices to customer risk and compliance teams.

Leads enterprise AI workforce transformation by redesigning operating models, business processes, employee roles, and human-agent collaboration. Designs and deploys AI agents, develops AI literacy and retraining programs, embeds adoption into performance and onboarding systems, and protects employee privacy. Directs readiness assessments, change programs, AI councils, champion networks, global training, stakeholder workshops, and adoption analytics to ensure sustained behavioral change across large organizations.

Lead value discovery and realization for strategic AI and agent investments. Facilitate executive and CFO workshops, develop value hypotheses, prioritize agent backlogs, build ROI and scenario-based business cases, establish KPI measurement systems and baselines, and track realized P&L impact. Create Power BI and Viva Insights dashboards, assess scale readiness, develop reusable value frameworks, and transfer value-management capabilities to customer teams.

Serve as a strategic advisor to senior leadership by leading business planning, governance, budgeting, forecasting, communications, performance management, organizational health, and cross-functional initiatives. Translate strategy into execution plans, establish success metrics, manage operational reviews and business continuity, coordinate resources, influence decisions with data-driven insights, and ensure organizational alignment, compliance, and measurable results.