Top Software Engineer Jobs in Vancouver

Own the architecture and technical strategy for Square’s go-to-market technology stack. Build and operate production AI agents, automated workflows, and integrations that improve sales productivity. Lead complex technical initiatives, establish AI reliability and security guardrails, define evaluation metrics, and guide build-versus-buy decisions. Partner with Sales, Product, Data, and Engineering leaders while mentoring engineers and remaining hands-on across design, implementation, testing, deployment, and operations.

The Software Development Engineer II will design and build backend services and APIs, improve system quality, and support onboarding of new engineers in a distributed systems environment.

Own Klue’s platform engineering, infrastructure, Kubernetes, CI/CD, observability, security controls, compliance automation, and cloud cost optimization. Build reusable Pulumi components, operate GKE, improve developer self-service, reduce operational toil, strengthen software supply-chain security, and support SOC 2 readiness. The role requires hands-on production systems experience, on-call participation, strong cloud and Kubernetes expertise, and ownership of scalable internal platforms.

Build complex customer-facing product features and systems, own technical decisions, shape scalable solutions with Product and Design, contribute to architecture and technical direction, uphold code quality, mentor engineers, and support production incidents. The role requires full-stack experience across modern web applications, TypeScript, React, Node.js or .NET, cloud environments, API design, data modeling, and system boundaries.

Build and own Android growth and monetization experiments across subscriptions, advertising, purchases, and upgrade flows. Partner with product, design, data science, and analytics to instrument experiments, evaluate results, and ship reliable experiences at consumer scale. Use AI-native workflows for specification, coding, testing, and review; improve mobile engineering practices; contribute to architecture and code reviews; participate in on-call; and mentor engineers.

Develop new products and enhance existing SaaS applications across the full stack. Responsibilities include system analysis, solution design, coding, documentation, feature delivery, secure development, process improvement, and collaboration with stakeholders. The role also involves mentoring engineers, maintaining coding standards, estimating delivery timelines, and owning large-scale services. The developer will work with C#/.NET, React/TypeScript, REST APIs, SQL, AWS, Azure, microservices, DevOps practices, and CI/CD pipelines.

Design, implement, test, and operate end-to-end features for a production fintech platform. Lead technical design, write specs, mentor engineers, conduct reviews, and drive cross-team collaboration. Ensure reliability, security, observability, and participate in on-call rotations to own production systems.

Build and ship full-stack features for a real-time collaborative content platform, spanning backend services, APIs, and frontend systems. Contribute to architecture and technical design, write tested and maintainable code, collaborate with product and design, integrate AI tools and capabilities, participate in code reviews, and help shape an early-stage product.

Build and deploy AI agents that automate internal business processes. Responsibilities include authoring reusable agent skills, integrating systems through MCP, creating evaluation sets, deploying production workflows with permissions and audit trails, and partnering with data engineers. The role requires translating business processes into reliable agent workflows, supporting deployed agents, and maintaining operational quality using Python, SQL, Git, CI, and containers.

Design and develop scalable, high-performance data and API infrastructure for real-time processing. Mentor engineers and collaborate with teams to enhance AI model evaluations.

The role involves designing and building data pipelines for analyzing user feedback on AI models, ensuring data quality and infrastructure scalability.

Lead architecture and technical direction for Thunderbird’s web Services products, including calendar and secure file storage offerings. Design scalable systems, write code, build prototypes, establish software patterns, and contribute across development, testing, monitoring, and maintenance. Solve ambiguous technical and product problems, develop analytics and infrastructure, mentor engineers, collaborate with distributed cross-functional and open-source teams, and help improve user and subscriber growth.

Build and maintain frontend products and tools across the Brex stack. Collaborate with engineers, sales, support, product, design, and operations to understand customer needs, design experiments, improve user experiences, and own features end to end. Responsibilities include addressing user experience, data models, scalability, operability, metrics, and feature quality while contributing to technical vision and cross-functional projects.

Lead the software roadmap and productization of NeuraGrasp robotic grasping technology. Architect and develop production software in Python and/or C++, integrate software with robotic hardware and perception systems, and lead testing, deployment, monitoring, and field activities. Manage and mentor engineers, coordinate cross-functional technical initiatives, establish engineering standards, develop performance and experimentation tooling, and use operational data to improve robotic system reliability and performance.

Build and operate backend infrastructure, APIs, and distributed services that process grid telemetry and execute real-time energy optimization decisions. Own systems end to end, including architecture, implementation, production reliability, debugging, code review, technical writing, pairing, and mentoring. Develop highly reliable, low-latency software for physical energy systems while helping establish engineering standards and AI-assisted coding practices.

Develop and launch customer-facing financial software, building scalable backend systems and end-to-end features. Responsibilities include collaborating across engineering and user-facing teams, designing banking experience improvements, owning data models, scalability, operability, and metrics, and maintaining high-quality standards.

Design and build scalable APIs, cloud-native services, and applications supporting millions of users. Own service reliability, performance, testing, production incident response, and continuous improvement. Collaborate with product and architecture teams, participate in design and code reviews, contribute to technical decisions, and mentor engineers while delivering high-quality software in a fast-paced environment.

Design, build, deploy, and operate production software powering AI services and platform infrastructure. Own backend services and APIs end to end, including Kubernetes deployment, GitOps, infrastructure as code, observability, incident response, and performance optimization. Develop distributed, multi-tenant systems using reliable communication patterns, cloud platforms, and data services. Collaborate across engineering, platform, and infrastructure teams while participating in on-call and continuous improvement.

Build scalable, high-performance front-end solutions for 3D interior-decor experiences using computer vision. Collaborate with product, design, stakeholders, and engineering teams to deliver customer-focused features. Own systems through development, deployment, operation, and continuous improvement while supporting partners and maintaining high quality. The role offers mentorship and growth in a remote-first environment.

Own the strategy and development of AlphaSense’s Excel plugin, integrating AI-driven market intelligence into Microsoft Excel. Build performant, resilient, cross-platform applications with enterprise deployment, authentication, synchronization, and state management. Establish Office integration best practices, optimize complex integrations, and mentor engineers developing desktop experiences for financial professionals.

The Co-op Software Engineer will work on AI infrastructure projects, optimizing systems for scalability and performance while collaborating with teams.

Build and deploy LLM-powered features for clinical, patient, and operational workflows. Responsibilities include prompt design, retrieval, tool use, agent orchestration, evaluation harnesses, feedback loops, production operations, and AI engineering tooling. Partner with clinical, product, and safety stakeholders to ensure responsible healthcare-grade AI. Mentor teammates, communicate model behavior clearly, and stay current with emerging AI research and development practices.

Leads AI engineering strategy across clinical, patient, and operational products. Designs and operates production retrieval, orchestration, agentic, and evaluation systems, establishing standards for AI safety, observability, responsible deployment, and reliability. Partners with clinical, product, and executive leaders on the AI roadmap, mentors engineers, evaluates emerging models and tools, and codes regularly in Python.

Build and scale global payments and treasury systems using resilient, event-driven, microservice-based architecture. Design and implement cloud-native services, client-facing APIs, distributed systems, payment rails, financial ledgers, and reconciliation solutions. Collaborate independently and across teams, troubleshoot complex issues, maintain high-quality tested code, and contribute to technical and product goal definition.

Design and build distributed systems for a high-performance CI/CD execution platform. Responsibilities include orchestrating Supabase Branch lifecycle operations, provisioning ephemeral sandboxed environments on AWS, scheduling concurrent builds, optimizing pipelines through caching and artifact reuse, handling retries and failures, instrumenting observability, and developing configuration and infrastructure integrations. The role requires strong Go and TypeScript skills, cloud infrastructure experience, and a production operations mindset.