Top Software Engineer Jobs in Vancouver

Designs and develops healthcare interoperability and patient information systems using InterSystems IRIS and HealthShare. Builds HL7 and FHIR integrations, data exchange pipelines, ObjectScript applications, APIs, web interfaces, and optimized database solutions. Works directly with customers and clinical stakeholders to gather requirements, define technical specifications, conduct demonstrations and testing, and deliver compliant systems using secure protocols and controls.

Develop and optimize InterSystems IRIS and HealthShare healthcare integration solutions, PIMS platforms, patient workflows, and enterprise data exchange products. Gather customer requirements, design technical architectures, implement HL7 and FHIR integrations, build APIs and web interfaces, optimize databases and high-volume processing, and configure security and compliance controls. Support demos, testing, onboarding, and technical delivery while collaborating with customers, clinical teams, vendors, and stakeholders.

Design, build, deploy, and maintain critical software supporting scientific experiments, instruments, data systems, and infrastructure. Translate ambiguous research needs into reliable software milestones, develop integrations and high-volume data workflows, solve concurrency and performance issues, and improve testing, observability, and release practices. The role also includes architecture decisions, code review, mentoring, technical leadership, and collaboration with scientists and engineers.

Lead cross-team technical initiatives across the customer acquisition funnel, from first touch through onboarding and adoption. Set architecture and reliability direction, improve systems and handoffs, deliver scalable backend or full-stack solutions, and connect engineering investments to business outcomes. Mentor senior engineers, influence stakeholders without direct authority, raise engineering standards, and promote secure, AI-forward development practices.

Build and lead development of NVIDIA’s open-source NeMo Core Platform for executing, evaluating, deploying, and optimizing agentic AI systems across local, Docker, Kubernetes, Slurm, on-premises, and air-gapped environments. Responsibilities include designing platform APIs, plugin architecture, job orchestration, SDKs, reliability and observability capabilities, testing, performance improvements, technical leadership, code reviews, mentoring, and cross-team problem solving.

Lead architecture and hands-on engineering of Pantheons data platform: extend ingest, curation, and retention services; build ML/LLM-ready data infrastructure; mentor engineers; operate in a DevOps model; ensure data governance, observability, reliability, and cross-functional partnership.

Designs, builds, and improves Mural’s Canvas platform, including real-time collaboration, shared document editing, spatial interactions, rendering performance, asset management, APIs, and AI-enabled capabilities. Owns initiatives from problem definition through measurement, designs scalable and reliable systems, optimizes performance, and contributes to technical reviews, mentoring, documentation, and engineering practices. Partners with Product, Design, and Engineering to deliver maintainable, high-quality editor experiences.

Design, develop, launch, and maintain scalable backend systems and APIs used by partners and merchants. Collaborate with engineering teams and stakeholders, balance delivery speed with system quality and reliability, navigate large codebases, debug software, conduct code reviews, and write clear, tested, extensible code using distributed-systems technologies.

Own the architecture and evolution of a large-scale entity data platform. Design reliable systems for vendor data ingestion, entity resolution, matching, generation, and downstream delivery. Improve data correctness, freshness, traceability, observability, and reliability using AI-assisted and deterministic approaches. Lead integrations, incident response, technical standards, architecture decisions, mentoring, and collaboration with product and downstream teams.

Senior Full Stack Software Engineer responsible for building and owning scalable cybersecurity product experiences across front-end and back-end systems. The role uses TypeScript, Golang, React, Node.js, Kubernetes, cloud platforms, databases, APIs, and CI/CD pipelines. Responsibilities include architecture, performance optimization, security, mentoring engineers, leading projects, Agile planning, and adopting AI-assisted development tools.

Designs, develops, deploys, tests, and reviews software applications, features, and defect fixes. Collaborates with team leaders and users to support a product roadmap, analyze requirements, document software, provide developer-level support, and learn existing codebases. The role also involves participating in planning meetings, conferences, and occasional team travel.

Lead international integration engineering by architecting scalable distributed systems and an AI-powered development harness for partner integrations. Guide technical strategy, mentor engineers, review architecture and code, establish development and deployment best practices, and deliver production solutions. Collaborate with product, design, QA, UX, and partner engineering teams while using Java, Kotlin, event-driven messaging, and cloud technologies.

Build and operate critical software for power-campus design, construction, simulation, optimization, equipment integration, and energy management. Own technical areas, shape roadmaps, make architectural decisions, debug production systems, establish data models and interfaces, improve testing and observability, and mentor engineers. The role collaborates across power systems, construction, robotics, and company leadership to deliver reliable software interacting with physical infrastructure.

Design, build, and evolve customer-facing backend services and public APIs for shared platform capabilities. Own features end to end, create technical designs, collaborate with Product and Experience teams, and contribute to a product-driven roadmap. The role requires strong backend engineering, Go proficiency or rapid ramp-up ability, API design experience, cloud-native architecture knowledge, and the ability to work independently in a remote startup environment.

Develop and maintain automated unit, integration, and end-to-end testing frameworks for cloud-native platform services. Investigate deployment issues, troubleshoot root causes, create test plans, validate rollback strategies, and automate service deployments. Collaborate with engineering teams on testing changes and integration environments involving Kubernetes, Service Mesh, APIs, and control-plane technologies. Apply Linux, networking, scripting, performance, and SLO monitoring expertise to ensure scalable, reliable, and secure deployments.

Design and build the core vCluster Platform using Go and deep Kubernetes expertise. Own backend features end to end, from technical design through release, while solving complex systems architecture challenges involving networking, storage, isolation, and resource sharing. Contribute to open-source projects and the Kubernetes community, operate autonomously in a high-growth startup, and help define scalable Kubernetes multi-tenancy solutions.

Design and develop the backend of the vCluster Platform using Go and deep Kubernetes expertise. Own features end to end, from technical design through release, while solving complex systems and multi-tenancy challenges. Contribute to open-source projects and Kubernetes community initiatives, build scalable isolation and resource-sharing solutions, and operate autonomously in a fast-growing startup environment.

Own the Linux user-mode runtime, driver, and HAL interfaces for a Fabric accelerator. Responsibilities include runtime library design, compiler and kernel-driver integration, memory and resource management, ML framework backends, pre-silicon bring-up using simulation, emulation, QEMU, and FPGAs, and comprehensive runtime testing. Collaborate across compiler, architecture, verification, and kernel teams to support first-silicon deployment.

Own development of a Linux kernel-mode driver for a custom Fabric accelerator, including memory management, SMMU/IOMMU integration, MMIO, interrupts, power management, firmware, and user-space interfaces. Lead pre-silicon enablement using QEMU, simulation, emulation, and FPGA platforms; manage Linux boot and first-silicon bring-up. Debug complex hardware and kernel issues, establish automated testing, and collaborate with architecture, verification, compiler, and hardware teams.

Automate software testing, deployment, and validation for scalable cloud-native platform services. Responsibilities include developing unit, integration, and end-to-end test frameworks; troubleshooting deployment issues; creating test plans; validating rollback strategies; collaborating on integration testing; and scripting platform-service deployments across diverse environments and architectures.

Develop and maintain automated unit, integration, and end-to-end testing frameworks for cloud-native platform services. Investigate deployment failures, troubleshoot cross-environment and architecture-specific issues, create test plans, validate rollback strategies, collaborate across engineering teams, and automate platform deployments. The role requires strong Python, Pytest, Linux, Bash, virtualization, CI/CD, and modern software development lifecycle expertise.

Build and maintain scalable financial products in a cross-functional agile team. Responsibilities include writing tested code, solving cross-system challenges, owning initiatives from definition through delivery, creating technical plans and documentation, supporting production monitoring, improving performance and observability, collaborating across teams, and mentoring engineers. The role requires backend development with Python and Django, frontend development with React and TypeScript, financial API integrations, data modeling, staged rollouts, and occasional after-hours on-call support.

Responsible for building multiplayer experiences in Unreal Engine 5, solving networking challenges, and mentoring team members.

Develop and maintain secure client/server enterprise applications, appliance operating systems, release pipelines, and cloud infrastructure. Responsibilities include coding, testing, troubleshooting, patching, packaging, signing, and releasing software for on-premises and cloud deployments. The role collaborates with engineering, QA, support, and customers while managing AWS infrastructure, databases, security controls, documentation, and Agile development practices.

Designs, develops, tests, and maintains robotics middleware and application frameworks in modern C++ on embedded Linux. Owns platform components through deployment and fleet operation, improves reliability and performance, diagnoses complex concurrency and systems issues, and translates safety requirements into software behavior and verification. Collaborates across autonomy, systems, hardware, and software teams while leading technical reviews and mentoring engineers.