Top Software Engineer Jobs in Vancouver

Build, operate, and extend Affirm's data platform and application tooling to enable self-service data applications at scale. Implement platform features (provisioning, CI/CD, access control), integrations, data governance, automation, observability, and on-call operations. Contribute to roadmap for semantic layers, agentic data tooling, and AI-native workflows while raising engineering and operational standards.

As a Senior Full Stack Software Engineer at Doxel, you will design and develop applications for project management, focusing on complex data handling and intuitive UI. Your role involves collaborating across teams and providing technical leadership in software projects.

Design, build, and operate large-scale, real-time payment microservices. Own end-to-end delivery including coding, testing, deployment, automation and operations. Troubleshoot/refactor code, drive architecture and technology adoption, mentor teammates, integrate services for customer journeys, and improve engineering and operational metrics.

Build and own secure, event-driven full-stack services on AWS using TypeScript/Node.js. Implement infrastructure-as-code, CI/CD, observability, REST APIs, and automated tests; respond to production incidents and participate in architecture decisions while leveraging AI tools.

The Software Engineer will design and implement software solutions, optimize systems, support customer development, and contribute to company culture within a collaborative startup environment.

Lead and own a broad domain end-to-end: set multi-team architecture and roadmap, build platform and tooling, ship production systems, define AI standards and evals, partner with product/design/data, coach senior engineers, and solve high-impact technical and product problems.

Own end-to-end engineering problems across Babylist's Rails monolith and AI-enabled systems. Design, ship, and iterate on features and abstractions, run experiments, harden critical paths, review risky changes, and share AI learnings. Work across backend, frontend, mobile, data and ML infrastructure to improve customer outcomes and platform reliability.

Lead development and operation of cloud-native CI/CD pipelines, automate build/release workflows, onboard and integrate services, maintain availability and observability, collaborate across teams, support production environments and participate in on-call rotations.

The Connector Software Engineer will design, develop, and maintain software connectors for API and database integrations, focusing on data security and interoperability in enterprise systems.

The role involves optimizing hardware support within a software stack for AI model deployment, collaborating with teams and hardware vendors to enhance performance and portability across platforms.

Develop and integrate software for hardware platforms using C/C++. Responsibilities include architecture definition, SDK integration, and system performance monitoring, while collaborating with various teams and mentoring new developers.

As a Frontend Engineer, you'll craft user interfaces, write engineering requirement documents, build test suites, and integrate analytics for product success.

As a Backend Engineer, you will design scalable APIs, create Engineering Requirement Documents, and build test suites for product analytics and performance.

Build and ship full‑stack features for North, an enterprise AI workspace. Develop secure autonomous agents, execution engines, integrations, observability and evaluation systems. Collaborate with researchers to productionize models and deliver performant, low‑resource deployment code while adhering to strict security and privacy constraints.

As a Senior Full-Stack Developer at gaiia, you will architect, develop, and manage critical systems in a serverless environment, collaborating on core modules related to customer management.

As a Machine Learning Engineer, you will develop models for NLP and code-generation systems, analyze data, and improve AI performance using advanced algorithms. You'll manage the entire ML lifecycle and ensure effective communication of model benefits across the organization.

Develop and maintain scalable, reliable back-end systems and APIs, write maintainable code, and collaborate with global teams in a hybrid work environment.

Design and develop user interfaces and backend architectures for web applications, ensuring seamless integration and optimal performance using modern web technologies.

Develop scalable front-end and back-end features for a consumer-facing 3D/AR product using computer vision. Collaborate with product and design, own systems lifecycle, ensure performance and quality, unblock partners, and continuously learn and improve.

The role involves developing backend services using Python and Django, ensuring high availability and performance, and leveraging computer vision technology for 3D experiences in home decor.

Build scalable, high-performance front-end experiences using React/Next.js and Three.js, collaborate with product and design, own systems, integrate computer vision, and deliver polished UX for customers.

Lead design and implementation of backend-focused fullstack features using Rails and GraphQL, build APIs, mentor engineers, own oncall responsibilities, improve architecture and data models, and deliver high-quality, tested code.

Develop and maintain large-scale on-premise and cloud video products (Avigilon Unity) using C++/C#. Contribute to architecture, CI/CD, containerization, test automation, and mentor team members while delivering APIs, database integrations, and DevOps pipeline improvements.

Join the Signup & Activation team to build and optimize frontend experiences that drive user acquisition and early activation. Collaborate with product, design, analytics, and backend engineers to implement high-quality, performant React/TypeScript interfaces, run experiments (A/B testing and personalization), and own well-scoped features from design through delivery in a Rails-backed environment.

Design and implement features for content ingestion pipelines, metadata services, and content processing workflows. Build reliable, observable services that handle diverse file formats, malformed inputs, retries, and asynchronous workflows. Collaborate with ML, Search & Discovery, and Product to improve metadata extraction, classification, and discoverability while leveraging LLM-based tools and AI-driven practices.