Top Tech Jobs & Startup Jobs in Vancouver

Drive Microsoft Azure adoption and consumption across strategic accounts in Western Canada. Lead customer engagements, identify cloud and AI opportunities, build business cases, orchestrate sales and technical teams, coordinate partners, and guide application and data migration or modernization. Engage C-suite stakeholders, close solution sales, remove deployment roadblocks, and help customers achieve digital transformation and business value.

Design, implement, test, deploy, and operate highly available distributed services for Azure Monitor at global scale. Build telemetry collection, routing, storage, and data-access APIs and tools; improve reliability, security, observability, and diagnostics; and integrate machine learning and AI-assisted operational capabilities. Participate in on-call and incident response, collaborate across teams, mentor engineers, lead design reviews, and drive architectural alignment.

Design, develop, deploy, and operate reliable, scalable distributed systems powering Microsoft's Analysis Services engine across Power BI, Azure Analysis Services, and SQL Server Analysis Services. Responsibilities include performance optimization, service monitoring, production troubleshooting, incident response, on-call support, metrics analysis, customer issue resolution, and collaboration on secure, compliant platform solutions.

Design, develop, test, optimize, and maintain foundational real-time video platform technologies. Diagnose complex camera, device, hardware, operating system, and media pipeline issues; improve performance, reliability, security, and efficiency. Collaborate across teams on architecture and technical projects, use telemetry and experimentation to analyze production behavior, participate in on-call incident response, and contribute through code reviews, documentation, mentoring, and engineering best practices.

Lead architecture, development, and delivery of real-time communications software, native client libraries, and SDKs across Windows, iOS, and Android. Drive cross-team technical strategy, AI-assisted engineering capabilities, automation, reliability, security, telemetry, and production support. Provide technical leadership through design and code reviews, mentoring, architectural tradeoffs, and collaboration with engineering, product, security, privacy, and compliance teams.

Leads the design, development, testing, debugging, and operation of scalable distributed systems for Fabric data mirroring. Responsibilities include architecture, coding, code reviews, dependency management, telemetry and root-cause analysis, automated testing, reliability, security, performance optimization, and collaboration with technical and project stakeholders.

Design and build scalable experimentation platform capabilities supporting AI, agentic, data, and big-data workloads. Develop self-service and agent-assisted experiences for experiment setup, governance, execution, and analysis. Collaborate with engineering, product, and data science teams on architecture and technical decisions. Improve service reliability, scalability, performance, observability, and maintainability while contributing to distributed systems and cloud platform development.

Design and develop AI-driven cloud security platforms that automate security risk evaluation and remediation at scale. Build reliable, secure, and observable distributed services; write, test, debug, and optimize production code; contribute to architecture; monitor and restore services; and collaborate with engineering, security, and product teams. Apply AI, automation, secure coding, DevSecOps, and cloud technologies to improve security operations and service reliability.

Leads proactive and reactive technical delivery for enterprise customers using Power Platform, SharePoint, and Microsoft 365. Evaluates customer environments, identifies resiliency and security issues, provides modernization and AI transformation guidance, and delivers data-driven recommendations. Coordinates support, account, and engineering teams, contributes to incident resolution and on-call rotations, conducts assessments and workshops, and improves service delivery processes.

Designs and demonstrates secure, scalable Azure database and analytics solutions for enterprise customers. Leads technical sales engagements, proofs of concept, hackathons, architecture workshops, migrations, and production deployments. Advises platform leaders, resolves technical blockers, collaborates with engineering, and develops expertise across Microsoft Fabric, Azure Databases, Databricks, Purview, on-premises data warehouses, Hadoop, and competing analytics platforms.