Top Software Engineer Jobs in Vancouver

Interns will prototype rapidly, iterate, and contribute to open-source projects at the intersection of AI and cryptography.

The Software Engineer will design, develop, and install software solutions, focusing on web applications using PHP and ensuring coding standards and technical design compliance.

As a Software Engineer Intern, you will assist in developing features for a climate adaptation software, collaborating with teams and learning modern engineering practices.

The Senior Frontend Software Engineer will design, develop, and enhance frontend capabilities on the Graykey platform, ensuring quality code and collaboration with design and QA teams.

The Software Integration Engineer will develop migration services, enhance file processing products, and collaborate with teams to optimize high-throughput services on the VGS platform.

Design, build, and maintain scalable Salesforce solutions for aircraft leasing lifecycle. Implement Apex, LWC, Flows, integrations (REST APIs, Platform Events), reporting, and AI-assisted features. Support testing, CI/CD, refactoring, and collaboration with Product, DevOps, and Security teams to improve reliability and reduce technical debt.

As a Senior Software Engineer at Vanta, you will lead projects, set technical direction, develop product functionality, and mentor engineers, leveraging modern frameworks like TypeScript, React, and Node.js.

Design and develop tools for verifying the correctness of smart contracts, extend verification algorithms, and collaborate with engineers on technical solutions.

Develop high-performance frontend applications, collaborate with design and backend teams, ensure quality coding practices, and improve platform scalability and performance.

Build and maintain scalable, cloud-native full‑stack features and services. Collaborate with Product and Design to prototype, deliver, and document solutions. Work across backend and frontend, apply modern engineering practices, mentor teammates, and own product domains to improve transit operations.

Build and maintain scalable, reliable data systems and pipelines, uphold SLOs, partner with Product/Sales/Finance, enable self-service analytics, contribute to data platform strategy, and improve engineering practices for testing, reliability, and documentation.

Build and operate AI-native backend services that orchestrate multi-step, stateful LLM agents for GTM workflows. Design model-agnostic abstractions, integrate external systems, deploy containerized services on Kubernetes, ensure observability, and run experiments to measure effectiveness.

Design, maintain, and extend abuse detection and prevention systems for GitLab's SaaS platform. Serve as a core maintainer of a Ruby on Rails monolith, build anomaly detection and agentic AI mitigations, automate abuse response, collaborate with peer engineering and security teams, and produce runbooks and operational documentation.

Build production-grade AI workflows, automations, and agent systems for recruiting, security/compliance automation, operational infrastructure, CRM integrations, and growth automation. Work across product, engineering, and operations to design API-based integrations and LLM-powered systems that improve hiring, sales, onboarding, and enterprise readiness.

As a Senior Software Engineer, you will enhance data pipelines, integrate with EHR systems, and mentor fellow engineers while ensuring scalable and reliable solutions for health technology.

The Senior Software Engineer will build route planning and tracking systems, develop web applications, and create APIs for logistics and dispatch operations.

Lead technical strategy and execution for a backend ledger team building audit-grade, highly available financial systems. Drive architecture, operational reliability, monitoring, code quality, mentorship, and cross-functional collaboration to deliver accurate, scalable ledger and accounting functionality.

Plan and execute IVVQ (integration, verification, validation, qualification) activities for a data security product. Create test strategy/plans, design and maintain automated UI/API/integration tests, integrate tests into CI/CD, manage test resources, reduce flaky tests, support integration/fix cycles, and represent IVV in final system acceptance testing.

Build and own agent orchestration, inference serving, APIs, and internal tools that turn model capabilities into multi-step workflows. Implement skills/tools for automated and interactive workflows, optimize inference for latency and throughput, integrate models into products, and establish engineering practices like testing, CI/CD, and observability.

Architect, build, and deploy agentic and multi-modal AI systems for biopharma and healthcare. Lead end-to-end development, cloud deployments (AWS), Kubernetes-based backend services, model serving, data pipelines, CI/CD/DevOps, and mentor junior engineers while collaborating with researchers and product teams.

Design, build, and maintain telemetry instrumentation services, APIs/SDKs, and scalable data pipelines. Implement data quality, validation, governance, security practices, CI/CD, and on-call support while collaborating with product and partner teams.

Design and build scalable, highly available services for OneLake and ISV integrations. Own end-to-end development, observability, testing, and production readiness. Collaborate with product and partner teams, drive design reviews and code quality, mentor engineers, and leverage AI tools to enhance partner integration with Microsoft Fabric.

Design, build, and productionize LLM-powered systems (adaptive content, tutors, evaluators) and AI pipelines (RAG, embeddings, fine-tuning). Prototype and optimize models across modalities, define AI safety/evaluation/observability practices, and collaborate with product and engineering to measure learner outcomes and iterate.

Build and own user-facing features and core platform architecture across frontend, backend, and ML pipelines. Integrate AI workflows (LLMs, embeddings) for curriculum generation and automated evaluation. Manage end-to-end development: requirements, design, implementation, CI/CD, testing, observability, and iteration while collaborating with product, design, ML, and customer teams.

Build full-stack features across a Next.js frontend and FastAPI backend, implement responsive React UIs, integrate AI-powered workflows and streaming responses, consume auto-generated OpenAPI clients, write tests and optimize performance, and collaborate on code reviews and product design.