Top Software Engineer Jobs in Vancouver

Lead architecture and implementation of Coinbase's Risk Platform: build high-throughput, low-latency real-time fraud detection, decisioning, and mitigation systems. Define multi-quarter technical strategy, partner with Data Science/ML/Product/Compliance, implement AI-native agent-driven workflows, and mentor engineers to improve reliability, performance, and scale.

Lead design and delivery of backend risk systems to detect and prevent fraud, manage credit and market risk, and protect users. Drive architecture for distributed, high-availability services, partner with Data Science/ML and product teams, build AI-native detection and response systems, mentor engineers, own operational excellence, and lead incident response and post-mortems.

As a Software Engineer, you will collaborate in small teams, transform legacy systems, apply modern engineering practices, and continuously learn and grow.

Develop and optimize distributed systems for syncing customer data, focus on scalability, reliability, and performance for global clients.

As a Software Development Engineer in Test, you'll create and conduct automated tests, resolve technical issues, and collaborate with development teams to ensure software quality.

Lead the Developer Environments team, enhancing software development productivity. Drive strategy, manage systems, and improve developer workflows and tooling.

Build and ship full‑stack product features for a browser-based CAD application: own front-end architecture and UX, maintain backend services (APIs, Postgres on GCP), write well-tested high-performance code (including C++ core), and lead customer-facing technical engagements to turn feedback into product improvements.

As an ML Engineer at Luma AI, you will design high-performance model serving pipelines, manage GPU resources, and optimize CI/CD for large-scale AI systems.

The ML Engineer will integrate model architectures, optimize deployment workflows, maintain CI/CD pipelines, and ensure reliability of inference services across large-scale systems.

The Data Reliability Engineer will enhance the resilience and scalability of data infrastructure, focusing on automation and reliability. Responsibilities include managing data pipelines, operating Kubernetes clusters, and defining observability standards.

The role involves using AI tools to rapidly develop software, working across product and engineering teams, and owning software projects end-to-end.

This role requires shaping technical direction, leveraging AI tools for production systems, and making crucial decisions to align product intent with engineering realities.

As a Software Engineer, you will create tools and pipelines for AI development, manage data solutions for ML teams, and ensure high-quality code.

Join as the founding full-stack engineer to extend a TypeScript React/Next.js prototype, design product features, integrate AI/OCR, write tests and infrastructure, talk to users, and iterate quickly to drive growth.

Build and maintain end-to-end web applications powering sales and operations. Design tools for quoting, scheduling, and fulfillment, integrate AI into products, collaborate on UX, ship high-impact features, and contribute to architecture, deployment, and engineering culture.

Build tools and infrastructure for training language and multi-agent models in interactive environments; research and implement advances in language modeling and reinforcement learning; contribute to publications and open-source projects.

Build full-stack features across a Next.js frontend and FastAPI backend, implement responsive React UIs, integrate AI-powered workflows and streaming responses, consume auto-generated OpenAPI clients, write tests and optimize performance, and collaborate on code reviews and product design.

Lead large-scale technical initiatives on the Data Ingestion Team, focusing on building and operating distributed systems that process billions of events daily.

As a Software Engineer, you'll build scalable micro-services, work with large data sets, and optimize performance, focusing on distributed systems and real-time analytics.

The Software Developer, Mobile will work in a collaborative environment to build mobile and web applications, solve technical problems, and mentor team members, focusing on performance and reliability.

The Principal Software Engineer will design and optimize backend applications/services, improve payment integration, and oversee code quality within AWS.

The Software Engineer will design and develop product functionality, collaborate with teams, solve complex problems, and learn new technologies while participating in the product life cycle.

Join the CAMS engineering team to build and improve the Kaleris TMS platform, focusing on web application development and logistics solutions.

This role involves leading the design, development, and optimization of GPGPU and AI inference libraries, ensuring performance and reliability while mentoring engineers and coordinating with product management.

The Web UI Software Engineer will design and develop frontend web applications for embedded systems, ensuring integration with backend services and delivering exceptional user experiences.