Top Software Engineer Jobs in Vancouver

Lead development of a massively distributed edge compute platform. Design fault-tolerant systems, external APIs, high-throughput traffic routing, and Kubernetes-based resource management. Establish architecture standards, reliability metrics, security practices, and technical governance. Collaborate with AI/ML, hardware, networking, and security teams; communicate risks to executives; manage customer requirements; review code; and mentor engineers on distributed systems best practices.

Design, build, and operate large-scale distributed scanning services in Python and Go. Own systems design, implementation, deployment, scalability, reliability, observability, and production support for internet-wide and customer-specific security scans. Collaborate with security, product, data, and infrastructure teams to deliver scanning and threat-intelligence capabilities, improve architecture and performance, and mentor engineers.

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.

Develop and maintain full-stack features for a secure, cloud-based medical image-sharing platform. Responsibilities include JavaScript and React front-end development, Perl service APIs, PostgreSQL query and schema work, debugging across APIs, databases, storage, and DICOM/HL7 interfaces, testing, code reviews, documentation, and support for AWS, Kubernetes, Docker, and CI/CD operations.

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.

Evaluate AI coding agents such as Codex, Claude Code, and Cursor for engineering judgment, reasoning quality, usefulness, and correctness. Provide detailed written feedback, distinguish response-quality levels, define evaluation standards, and record short video explanations. This flexible remote contract requires strong software engineering experience, familiarity with AI-assisted development workflows, and the ability to make rigorous, opinionated judgments without reviewing every line of code.

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.

Develop and maintain large-scale C++ and C# applications and APIs for Avigilon video products. Responsibilities include software design, architecture, implementation, maintenance, user support, and technical mentorship. The role contributes to build pipelines, containerization, DevOps tooling, CI/CD, and test automation within a Scrum team. The position is hybrid in Vancouver and supports cloud and on-premise platforms, databases, media streams, cameras, devices, and sensors.

Design, build, test, and maintain backend software features and system components for access controls and core APIs. Diagnose bugs, performance bottlenecks, and system errors; collaborate with distributed teams; and participate in code reviews and pull requests. The role requires backend and distributed systems engineering experience, SQL/PostgreSQL knowledge, strong communication, and the ability to translate complex software problems into technical tasks.

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 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.

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.

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.