Top Tech Jobs & Startup Jobs in Vancouver

Own the technical direction and delivery of WEX’s data acquisition platform. Build reusable, high-performance batch, CDC, and streaming ingestion services with schema validation, reconciliation, recovery, lineage, security, observability, and auditability. Lead architecture and code reviews, establish testing and CI/CD practices, mentor engineers, resolve cross-team dependencies, and support production escalations. The role requires hands-on development of scalable distributed systems and configuration-driven connectors.

Build and operate a new full-stack fleet payments and expense management platform. Responsibilities include architecture, backend services, APIs, web and mobile capabilities, payment workflows, partner integrations, testing, observability, security, production readiness, and continuous improvement. The role collaborates with product, design, security, and distributed engineering teams while mentoring engineers and establishing scalable development practices.

Own and scale a multi-cloud data platform across AWS and Azure. Manage Apache Airflow, Kubernetes, Terraform, Helm, ArgoCD, CI/CD, observability, big data infrastructure, governance tooling, and FinOps initiatives. Provide end-to-end architectural and operational ownership, improve developer tooling, define platform roadmaps, manage incidents, enforce engineering standards, and mentor data platform engineers.

The role involves designing and developing high-performance web apps, improving user interfaces, maintaining component libraries, and ensuring code quality through comprehensive testing and collaboration with other teams.

Lead modernization of complex SQL Server stored procedures and design AI-native data infrastructure. Responsibilities include domain-driven data architecture, event-driven patterns, vector databases, embedding pipelines, semantic models, knowledge graphs, RAG evaluation, multi-platform data solutions, governance, and AI-assisted database tooling. The role partners across engineering and AI/ML teams, establishes reference architectures, mentors engineers, and contributes to enterprise data standards.