Top Tech Jobs & Startup Jobs in Vancouver, BC

Leads a technical team delivering secure, scalable cloud infrastructure across AWS and Azure. Owns the cloud platform roadmap, reusable infrastructure patterns, governance guardrails, automation, networking, reliability, FinOps, and execution of platform initiatives. Partners with engineering, product, security, architecture, operations, finance, and vendors; reviews designs, manages risks, supports negotiations, and develops teams across geographies.

Lead product strategy and execution to build, scale, and operationalize Agentic Trust solutions across identity, fraud, cyber, and disputes. Drive cross-functional delivery, incubate capabilities, ensure platform scalability, and prepare solutions for market readiness and commercialization.

Lead definition, development, and delivery of major cross-department software initiatives. Own technology selection, roadmaps, QA/process standards, compliance integration, and vendor management. Mentor teams, run PoCs, drive strategic decisions, and ensure secure fintech solutions using cloud and data platforms.

Lead architecture and platform strategy for Security Solutions, defining reusable patterns and prototypes. Partner with product, engineering, data science, and security to translate needs into scalable, secure architectures. Build proofs-of-concept, use AI-assisted coding, evaluate trade-offs, and drive cross-functional alignment to production readiness. Focus areas include agentic trust data, AI agents, cloud-native platforms, and security integrations.

Lead quality engineering and test automation for authorization decisioning: design and implement automated test frameworks, execute functional/integration/API/performance tests, integrate tests into CI/CD, define test strategies, troubleshoot defects, mentor engineers, and support release and production readiness.

Develop and productionize ML/AI models and scalable data science capabilities for merchant risk assessment. Work on data extraction, feature engineering, entity resolution, prototyping models, validating and monitoring performance, and building Databricks/Spark-based workflows in collaboration with Data Science, Product, and Engineering teams.

Lead and grow a data science team to build merchant registry and profiling capabilities. Define strategy, drive ML model development and deployment at scale, establish best practices, partner with Product and Engineering, and deliver measurable business outcomes while promoting reusable assets and Agile delivery.