Top Engineering Jobs in Vancouver, BC

Set technical strategy, lead architecture and execution for scalable account-management systems, and deliver secure fullstack customer experiences. Collaborate with product, design, and analytics; establish engineering standards, monitoring, testing, alerting, and operational processes; support on-call ownership; communicate technical decisions; and mentor engineers while addressing account security and recovery challenges.

Build and improve high-traffic consumer web experiences using React and TypeScript. Develop experimentation, instrumentation, marketing integrations, attribution, and measurement systems while meeting privacy requirements. Collaborate with Product, Design, Marketing, Analytics, and Data Engineering, write tested and extensible code, monitor system metrics, support availability and on-call efforts, participate in code reviews, and contribute to team development.

Lead technical strategy and execution for a full-stack card experiences team. Design and launch scalable backend systems and web or mobile applications, collaborate with product, design, analytics, risk, and operations, and own features from problem definition through production monitoring. Improve reliability, on-call operations, code quality, and technical standards while mentoring engineers and applying AI thoughtfully.

Design and develop backend features for Affirm’s underwriting platform, supporting merchants and consumers across Affirm Card, e-commerce, and app interfaces. Collaborate with product, design, analytics, and credit risk teams; implement reliable distributed systems; monitor metrics and availability; participate in on-call support, code reviews, debugging, interviewing, and engineering growth activities.

Build and launch full-stack customer-facing features and backend services for Affirm Card. Collaborate with product, design, analytics, and engineering teams; design scalable APIs, support distributed systems, monitor service reliability, participate in on-call operations, review code, and contribute to technical planning and team development.

Architect and operate Affirm’s large-scale Amazon EKS platform, including cluster lifecycle, node management, autoscaling, workload safety standards, infrastructure as code, GitOps delivery, observability, cost and capacity optimization, and self-healing automation. The role leads technical direction, partners cross-functionally, mentors engineers, and participates in on-call incident response.

Lead the architecture and technical strategy for Affirm’s high-volume observability platform. Design telemetry pipelines, log-sampling systems, and observability standards while balancing reliability, performance, and cost. Drive cross-functional initiatives, mentor six engineers, establish engineering and operational standards, support availability and on-call practices, and promote quality through code reviews, documentation, and technical talks.

Lead Affirm’s Resilience Engineering team, defining strategy and managing engineers who build platforms for safe production load testing and chaos engineering. Own safeguards such as isolation, approval workflows, rollback mechanisms, observability, and auditability. Partner with infrastructure, security, product, and engineering teams to identify systemic weaknesses, improve reliability, establish incident response practices, and promote resilience validation across the software development lifecycle.

Set frontend technical direction for Affirm’s checkout and decisions orchestration systems. Lead architecture and delivery of major web application features, establish engineering standards, manage reliability and on-call operations, collaborate with product, design, and analytics, and mentor engineers. The role focuses on building fast, clear, and reliable checkout experiences using modern declarative UI frameworks.

Lead backend engineering for capacity modeling systems that forecast traffic, resource needs, and infrastructure scaling. Own quarterly team goals, guide engineers through complex problems, collaborate with product and analytics stakeholders, improve code and design standards, monitor system availability, support on-call operations, and develop team talent. Build highly available distributed systems, tune autoscaling and compute performance, and deliver scalable features using Python or Kotlin, AWS, MySQL, and Kubernetes.