Top Software Engineer Jobs in Vancouver

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.

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.

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.

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

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

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 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.

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.

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.

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.

Design and build a next-generation reliability platform for production systems, lead delivery of quarterly goals, collaborate across product/design/analytics, support operations and on-call, set code and design standards, mentor engineers, and integrate AI/LLM-assisted tooling to improve service health and debugging.

Lead and deliver backend batch infrastructure work: own quarterly goals, design and build reliable scalable compute for batch workloads, collaborate with product and stakeholders, run ops/on-call, set code/design standards, mentor engineers, and drive platform reliability and performance.

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.

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.

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.

Lead backend engineering for cloud-native, event-driven data pipelines and customer integrations (especially EHRs). Evolve core data models and APIs, improve scalability and reliability, mentor engineers, define best practices, and drive end-to-end testing and AWS-based solutions.

Join the Invoice Simple Core team to design, implement, test, and ship TypeScript-based web and mobile features. Collaborate with product and senior engineers, follow engineering standards, improve maintainability, and support the full app lifecycle from development to production.

Work embedded with strategic customers to design and build end-to-end integrations and solutions using ElevenLabs technologies. Own major projects, collaborate with customer engineers and executives, and solve complex technical problems with strong coding, architecture, and communication skills.

Lead and execute perception R&D and engineering for factory robots: define multi-year roadmap, architect perception pipelines (detection, segmentation, 6-DoF pose, scene understanding), drive sensor fusion and calibration, establish data/model workflows and deployment practices, integrate with planning/control, hire and mentor engineers, and evaluate research for production adoption.

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.

Develop, implement, and support enterprise software using Java/Spring Boot and Angular. Collaborate with product and agile teams to design, code, test, review and deploy microservices and APIs, provide production support, document artifacts, and ensure scalability, performance and adherence to architecture and best practices.

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.