Top Tech Jobs & Startup Jobs

Develop and mature cloud financial management for Azure (with potential multi-cloud expansion). Establish governance, tagging, reporting, forecasting, chargeback/showback, and cost-optimization practices. Partner with finance and engineering to implement cost-efficient architectures, manage reservations/savings plans, produce dashboards and KPIs, investigate anomalies, and drive continuous FinOps improvements across the organization.

Perform IT audits and compliance assessments against frameworks (ISO 27001, PCI-DSS, SOC 2, CIS Controls), document findings, manage risk registers, advise on remediation, support investigations, and present results to management and committees.

Provide bilingual front-desk reception and administrative support at two Ottawa sites: greet visitors, manage calls, issue visitor badges, coordinate mail, appointments, conference rooms, catering, and maintain professional reception area.

Create conceptual and production-ready designs for secure documents (banknotes, passports, IDs). Produce detailed illustrations and security linework, prepare digital artwork for press proof trials and production, collaborate with production and sales, manage project files, and present designs for customer approval while ensuring production compliance.

Design, build, and operate scalable cloud-native data platforms and production-grade pipelines using Azure, Microsoft Fabric, and Databricks. Implement lakehouse/medallion architectures, transform data with SQL/PySpark/Python, enable BI and AI workloads, enforce data quality, governance and security, automate deployments with DataOps/IaC, optimize costs, produce runbooks/docs, and mentor junior data engineers.

Lead technology strategy, architecture, engineering delivery, and operations for a regulated, national-scale identity platform. Build and lead engineering teams, establish SRE/observability, embed AI-enabled development, ensure security/privacy/compliance, support customer-controlled deployments, and represent technology to customers, regulators, and the board.

Design and maintain enterprise semantic models and AI-ready data products, build and optimize Power BI datasets and DAX metrics, enforce governance and security, enable self-service and AI-assisted analytics, and collaborate with stakeholders and data engineers to support BI and ML integrations.