Top Software Engineer Jobs in Vancouver

Leads end-to-end delivery of scalable software features and models, including design, development, testing, debugging, code reviews, CI/CD, and production support. Integrates AI/ML components, translates business needs into technical requirements, monitors performance, and promotes secure, maintainable engineering practices. The role also involves stakeholder collaboration, mentoring, and contributing to technical strategy and continuous improvement across Walmart’s AdTech platform.

Leads development of scalable platform capabilities, infrastructure, tooling, and AI/ML frameworks. Applies cloud-native architecture, manages the full software lifecycle, conducts design reviews, builds AI-driven applications, and ensures reliable production systems. The role mentors engineers, influences architecture, collaborates with stakeholders, and drives continuous improvement through innovation, automation, and engineering best practices.

Deploy and operate large-scale GPU Kubernetes clusters across cloud providers, onboard new hardware, and improve reliability, performance, utilization, and cost. Automate fault detection and remediation for nodes, GPUs, and high-speed fabrics. Troubleshoot Linux, networking, and production performance issues while collaborating with cloud providers, hardware vendors, researchers, and ML engineers. Participate in a compensated 24x7 on-call rotation.

Build and operate the platform that schedules, runs, and monitors machine learning training, evaluation, and reinforcement-learning workloads on Kubernetes. Responsibilities include job scheduling, workload networking, runtime isolation, checkpoint storage, automation, infrastructure as code, observability, and production troubleshooting. The role collaborates with AI researchers and ML engineers and includes a compensated 24/7 on-call rotation.

Develop software, AI-assisted tools, simulations, analytics, and decision-support algorithms for subsea optical communication systems. Optimize EDFA and Raman backhaul links, assess cable aging, recommend remediation and retesting, automate cable upgrades, and support commissioning and network operations. Collaborate with optical, systems, DSP, and software engineers, interface with customers, demonstrate solutions, and evaluate AI-generated code for correctness, scalability, and maintainability.

Build and ship full-stack web applications and scalable APIs for Affirm’s advertising platform. Break projects into deliverable phases, collaborate with product, design, and analytics partners, write tested and extensible code, monitor service metrics, support on-call operations, review code, and contribute to engineering growth and hiring activities.

Build and operate infrastructure for evaluating coding agents and language models. Own end-to-end features across data models, APIs, background workers, and user interfaces; run sandboxed agent trials; develop scoring and task-quality systems; integrate models and benchmarks; optimize performance, concurrency, migrations, and reliability; and review code. The role requires independent ownership of production backend systems and hands-on LLM evaluation experience.

Leads end-to-end software development for Walmart Ads’ Unified Recommendations Platform, including system design, coding, testing, deployment, monitoring, and maintenance. Builds scalable cloud-native distributed systems, integrates AI/ML capabilities, conducts design reviews, and drives technical execution. Mentors engineers, collaborates with stakeholders, defines success metrics, and improves engineering processes, tooling, and products.

Develop backend tools and systems that improve batch development, testing, and reliability. Responsibilities include breaking projects into deliverable phases, collaborating with product and infrastructure teams, monitoring system metrics, supporting on-call operations, writing tested and extensible code, debugging, participating in code reviews, and contributing to engineering growth activities.

Contributes to full-stack feature development for real-time, event-driven systems using microservices and microfrontends. Writes tested, scalable code; participates in architecture discussions; uses observability tools to troubleshoot and monitor systems; supports deployments and on-call workflows; and collaborates with senior engineers while continuously developing technical skills.

Build and extend Databricks platform features across backend, full stack, infrastructure, databases, systems, cloud, and customer-facing products. Responsibilities include full software development lifecycle ownership, architecture improvements, testing, production operations, and developing reliable, scalable, and secure solutions. New graduates will participate in collaborative projects with mentorship and learning opportunities.

Develop and implement security and privacy improvements across Tailscale’s codebase. Audit features for vulnerabilities, conduct threat modeling and security analysis, drive mitigations, and promote secure coding practices through guidance and training. The role spends at least half its time writing software and requires expertise in application security, web and API vulnerabilities, cryptography, networking protocols, and platform development.

Own end-to-end engineering initiatives for Xero’s accounting platform, including decoupling capabilities from a monolith and building scalable, reliable services for invoices, payments, bank transactions, and reconciliation. Design APIs and data stores, maintain production code, validate releases, collaborate with partner teams, and mentor engineers while improving architectural practices and accounting-data integrity.

Own end-to-end development of highly available, distributed payment services, from technical design through production operation. Build provider-agnostic capabilities for orchestration, integrations, risk, reconciliation, and bill payments. Design scalable cloud-native systems, make architecture and data-store trade-offs, improve existing platforms, and apply trustworthy AI capabilities. Collaborate with product and engineering teams, contribute production code, mentor peers, and help establish engineering practices for the Vancouver Payments Platform team.

Develop and deploy production machine learning models for NLP, retrieval, ranking, reasoning, dialogue, and code generation. Responsibilities include working with large datasets, model lifecycle management, feature engineering, training, validation, deployment, A/B testing, statistical evaluation, and automated testing. The role requires collaboration with technical and non-technical stakeholders and expertise in language models, retrieval, reinforcement learning, and agent-based systems.

Build and operate scalable AI platform infrastructure, including LLM and MCP gateways, agent runtimes, evaluation services, routing, quotas, observability, and security controls. Own projects from design through launch and on-call, establish technical standards, collaborate with security and infrastructure teams, and mentor engineers. Develop highly available distributed backend systems supporting AI workloads across Affirm’s financial products and engineering organization.

Develop and maintain scalable software for cloud-native networking and security products. Responsibilities include designing features and infrastructure, fixing bugs, optimizing systems software for cloud operations, and collaborating with DevOps and QA teams. The role requires strong Python programming and debugging skills, experience with containers and orchestration, and knowledge of cloud architecture, networking, security protocols, and distributed systems.

Develop high-availability, high-performance server applications and communication protocols for Fortinet products. Responsibilities include coding, bug fixing, troubleshooting, testing, maintaining and optimizing software, documenting code, and working with distributed networks. Candidates need Unix/Linux development experience, C/C++ knowledge, data structures, networking expertise, and strong problem-solving skills. Intermediate candidates additionally need professional development experience, concurrency, performance tuning, network programming, distributed systems, and code review experience.

Execute manual and automated tests, develop and maintain test automation infrastructure, and manage QA lab environments. Troubleshoot cloud services, network and server issues, and customer-reported problems. Build software systems, monitor service performance metrics, maintain Jenkins CI/CD pipelines, and collaborate with development, QA, operations, R&D, and technical support teams. The role requires strong networking, Windows and Linux server administration, virtualization, Python automation, and software quality assurance expertise.

Architect and operate Affirm’s large-scale Amazon EKS platform, including cluster lifecycle, node management, autoscaling, workload safety standards, infrastructure as code, GitOps delivery, observability, cost and capacity optimization, and self-healing automation. The role leads technical direction, partners cross-functionally, mentors engineers, and participates in on-call incident response.

Develop and maintain large-scale C++ and C# applications and APIs for Avigilon video surveillance products. Contribute across software design, architecture, implementation, maintenance, user support, DevOps, CI/CD, containerization, and test automation. Provide technical guidance and mentorship within a Scrum team while helping define build pipelines and supporting cloud and on-premise environments.

Lead design and delivery of scalable, cloud-native platform capabilities and ML-integrated applications. Oversee full SDLC, architecture, reliability, CI/CD, observability, and incident response. Provide technical leadership, mentor engineers, collaborate with stakeholders, and drive continuous improvement to support high-availability distributed fulfillment systems.

Lead front-end development for partner-facing financial web products, including embeddable onboarding modules, partner dashboards, and self-service workflows. Build complex multi-step forms and data-heavy interfaces with React and TypeScript, contribute to Node.js server layers, collaborate on API contracts, and work closely with product, design, and backend teams. Own features from design handoff through production release while maintaining multiple codebases and upgrading business-account APIs.

Design, develop, test, and maintain native iOS and iPadOS applications using Swift. Collaborate with distributed engineering and product teams to build features, conduct code reviews, resolve bugs, run experiments, and improve application quality, stability, performance, and user engagement. Contribute transparently to Mozilla’s open-source community.

Lead the architecture and technical strategy for Affirm’s high-volume observability platform. Design telemetry pipelines, log-sampling systems, and observability standards while balancing reliability, performance, and cost. Drive cross-functional initiatives, mentor six engineers, establish engineering and operational standards, support availability and on-call practices, and promote quality through code reviews, documentation, and technical talks.