Top Software Engineer Jobs in Vancouver

Design, build, and maintain backend systems and APIs for stablecoin-based pay-ins, payouts, deposits, and withdrawals. Own projects end-to-end as DRI, collaborate with cross-functional teams, resolve scalability and reliability issues, mentor engineers, and integrate blockchain/payment technologies while producing technical design documents.

Build and operate core backend services, APIs, and platform components for enterprise AI; integrate LLMs, retrieval and agent workflows; ensure reliability, observability, testing, and scalability; collaborate with research, product, and design to productionize AI capabilities.

Own and maintain the backend stack: build APIs and services in Node.js, manage deployments with Docker/Linux, design scalable REST APIs with Swagger, collaborate with hardware/frontend teams, and prepare sensor datasets for AI/ML pipelines with an eventual path to Lead AI Engineer.

The Software Developer II will design and develop full-stack features focusing on front-end development, contribute to product and technical discussions, and enhance the ShareGate platform's user experience with C# .NET and React.

Design, implement, test, and maintain TypeScript-based frontend (React) and backend services. Build and operate APIs and cloud infrastructure (IaC), participate in on-call incident response, write automated tests, perform code reviews, mentor junior engineers, and collaborate with product, design, and security teams to deliver scalable security features.

Design, build, and operate Kubernetes cluster management tooling and developer-facing workflows. Deliver compute capabilities (jobs, cron, deployments, EFS, right-sizing), automate toil, improve observability and incident response, and partner with Security/Reliability teams. Apply AI tooling to improve infrastructure automation and developer productivity.

As a DevOps Engineer, you will design, develop, and deploy scalable SaaS solutions, automate infrastructure tasks, and collaborate on CI/CD enhancements.

Join Ema as a Software Engineer to design and develop user interfaces for web applications, collaborating with product managers and UX designers, and integrating APIs.

As a Software Engineering Intern, you will contribute to building features for user-facing products, APIs, and scalable services for machine learning. Responsibilities include crafting code, designing data pipelines, implementing tools, and enhancing technical documentation.

The role focuses on optimizing coding practices and collaboration within the engineering team, improving internal tooling, and communicating between teams and leadership.

Build and own end-to-end backend systems for forecasting and agentic LLM research: design, deploy, monitor, debug, and harden features and pipelines (benchmarks, agents, production services). Prototype quickly, work with LLM APIs and coding agents, and collaborate with researchers to improve evaluation and forecasting tools.

As a Full-Stack Software Engineer, you will build end-to-end features, develop backend services, and create frontend applications while using AI-assisted tools and collaborating with teams.

Company culture-oriented posting with no role-specific responsibilities listed. Position title suggests a senior software architect/developer role, but no technical duties, stack, or deliverables are provided.

Design, build, test, and maintain Magnet One cloud platform features across front-end and back-end. Collaborate on architecture, perform code reviews, troubleshoot defects, and drive best practices for secure, performant, and maintainable software.

The Intermediate Software Engineer will collaborate with a Scrum team to develop features, write scalable code, participate in code reviews, and utilize AI tools while focusing on customer needs.

Develop and maintain software products, perform requirement analysis, troubleshooting, and enhance processes and product quality. Collaborate for innovation and improvement.

Collaborate in software design, programming, and testing. Responsible for coordinating test and release processes, focusing on software-defined networking systems.

Design, build, and iterate on fullstack systems for AI agents. Collaborate with teams to enhance UX and contribute to internal best practices while engaging in research related to AI technologies.

Lead large-scale, cross-functional engineering projects to deliver AI-native SaaS features. Own platform architecture for multi-tenant, cloud-native systems, drive engineering standards and developer tooling, mentor engineers, and operationalize LLMs, agent frameworks, and real-time data in production.

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.

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.