Top Software Engineer Jobs in Vancouver

The role involves developing software for Linux-based systems on autonomous devices, optimizing performance and ensuring reliability in various hardware environments.

As a Software Engineer at Canonical, you will collaborate globally to shape open-source software operations, focusing on Python and Golang development, enhance DevOps workflows, and improve infrastructure operations for cloud computing solutions.

The role involves designing and delivering open source software operations code in Python, ensuring system reliability, and collaborating with teams across the Linux stack.

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.

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.

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.

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.

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

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

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.

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.

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.

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.

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.

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 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.

Develop and maintain Avigilon Unity video products using C++/C# within a Scrum team. Provide end-to-end solutions: design, architecture, implementation, CI/CD, containerization, test automation, and database integration (Berkeley, Postgres). Mentor teammates, contribute to DevOps/build pipelines, and support users. Work hybrid in Greater Vancouver.

Design, implement, and maintain gameplay AI systems in Unreal Engine 5. Prototype and integrate AI behaviors for enemies/NPCs, optimize perception, decision-making, navigation, and pathfinding. Integrate AI middleware, establish UE5 engineering best practices, collaborate with design and gameplay teams, and drive performance, maintainability, and production-ready code.

As a Software Engineer in AI Infrastructure, you will design and develop core platform components, build APIs and services, enhance performance, and automate tooling while collaborating across teams and improving system reliability.

Build and maintain backend APIs and data pipelines that ingest and process large-scale construction data (360° video, schedules, IoT). Optimize storage and query performance using DuckDB and PostgreSQL, extend Airflow workflows, integrate Wasm for local computation, monitor data quality, and collaborate with frontend, CV, and ML teams to deploy production models and analytics.