Top Tech Jobs & Startup Jobs in Vancouver

Lead design, development, deployment, and monitoring of production ML models for merchant risk, fraud, AML, and payment-related use cases. Own feature engineering, model lifecycle, validation, production support, and cross-functional collaboration to deliver high-quality, interpretable, and scalable ML solutions using large-scale transaction and merchant data.

This role involves developing high performance, low latency Java solutions for the Fraud Management Platform, collaborating with a team in an Agile environment, and troubleshooting operational issues.

The Software Development Engineer II will design and build backend services and APIs, improve system quality, and support onboarding of new engineers in a distributed systems environment.

Join Cash App's Lending team as a Software Engineer to develop financial products that provide users access to credit. Collaborate with various stakeholders, optimize APIs, manage services, and enhance team practices while leveraging complex systems and AI-driven development.

As a Software Engineer for Cash App's Lending Products, you will design, develop, and enhance complex systems while collaborating with various stakeholders to improve financial accessibility.

The Sales Associate II role involves engaging with customers, providing styling advice, driving sales, maintaining products, and ensuring an excellent purchase experience. The associate supports a flexible schedule and showcases product knowledge.

Lead the technical lifecycle of Velocio apparel from design handoff to pre-production approval. Manage fabric sourcing, tech packs, prototyping, wear testing, pattern development, and supplier relationships. Collaborate with design, manufacturing, marketing, and athletes to deliver high-performance, sustainable cycling apparel and meet cost and timeline targets.

Responsible for building multiplayer experiences in Unreal Engine 5, solving networking challenges, and mentoring team members.

Design, create, and maintain internal technical training modules and hands-on workshops for Technical Services. Identify training needs, build curriculum and policies, engage subject-matter experts, measure training effectiveness with KPIs, and improve content tooling and delivery across a globally distributed team.

Support performance and load testing across enterprise applications: design, run and analyze tests, develop/maintain scripts, collect metrics, monitor systems, document results, and collaborate with developers and QA in an Agile environment.

Lead product strategy and roadmap for Value AI tooling that converts customer telemetry into value insights. Drive prompt engineering, model-quality vs cost tradeoffs, and cross-functional alignment across data science, engineering and docs. Own end-to-end outcomes, mentor junior product owners, and communicate AI/product tradeoffs to executives and field stakeholders.