Top Software Engineer Jobs in Vancouver

Design and implement .NET solutions using AI agents and GitHub Copilot within a spec-driven development process. Ensure test-first delivery, code quality, security, and performance. Collaborate with product, design, and data science, mentor junior engineers, and promote cross-team best practices and process continuity.

Build full‑stack web features from zero to one, integrate with third‑party APIs, design and manage state machines for financial workflows, own features through launch and post‑launch customer iteration, and maintain high code quality and accountability.

The BIOS Software Engineer will design and maintain low-level CPU firmware, BIOS, and boot loader software, working closely with hardware engineers and contributing to open-source BIOS communities.

Join Arista's SONiC development team as a software engineer to design, implement, and test system software for networking solutions, collaborating with other engineers and customers to resolve issues.

The Software Engineer will develop, test, and maintain the EOS software, collaborate with teams to analyze and fix network problems, and mentor junior engineers.

Develop and maintain Linux kernel features for Arista's EOS, integrate new CPU hardware, mentor engineers, and ensure quality and performance of software projects.

Develop, design, test, and maintain embedded software for Fortinet products (FortiAnalyzer), focusing on performance, scalability, bug fixes, database performance tuning, and implementing new features in a Unix/Linux environment.

Develop internal systems for FortiGuard Labs including data processing pipelines and web interfaces to streamline operations. Work primarily with Python, web frameworks, Linux, and networking; interest in computer security is highly desired.

The Staff Software Engineer will develop and execute technical strategies for Cash App Banking, lead architectural decisions, and mentor engineers, focusing on innovative financial solutions.

The Engineering Manager for Developer Productivity will lead a remote team to enhance developer productivity, focusing on AI integration, tooling evaluation, and team development while collaborating with cross-functional partners.

The Staff Software Engineer, Backend for Capacity Modeling develops scalable backend systems, maintains capacity models, and collaborates on technical strategies while ensuring system availability and high-quality code delivery.

As a Staff Software Engineer, you will lead technical strategies, drive architectural decisions, mentor engineers, and develop consumer banking solutions using various technologies.

Lead delivery of ML feature platform initiatives: design, build, and operate backend systems for feature creation, storage, backfilling and serving. Collaborate with product, design, and analytics, own quarterly goals, improve platform reliability and code quality, mentor engineers, and support on-call and operational monitoring.

Lead and deliver your team's quarterly goals, guide engineers through ambiguous problems, and collaborate with product, design, and analytics. Identify and resolve technical, process, and operational issues, support availability and on-call, enforce code and design quality, and mentor team members to grow talent and maintain high engineering standards.

Design, build, and operate Tailscale's global Funnel and DERP relay infrastructure. Implement and improve networking features in the open-source client dataplane, troubleshoot complex connectivity issues, integrate observability, participate in incident management, and drive reliability, scalability, and security for hosted services.

Design, develop, test, and maintain Electron-based desktop and web applications using TypeScript, React, Redux Toolkit, and Node.js. Integrate with C#/ASP.NET MVC backends and SQL Server, perform debugging, testing, code reviews, and contribute to architecture and documentation while collaborating across teams.

Develop and deploy robust, scalable full-stack software and advanced algorithms for robotic manufacturing. Research, prototype, and integrate agentic AI features (LLMs, RAG, tool integrations), perform design, coding, testing, integration, and optimization, and participate in design and code reviews with cross-functional teams.

Lead development of robotic simulators, motion planning and collision-checking (ROS 2 / MoveIt2), and perception components (object detection, pose/point-cloud processing). Write production-quality C++/Python with unit/integration tests, debug software-hardware integration, set architecture and testing standards, and mentor junior engineers.

Develop and maintain simulation scenes, implement motion-planning and collision-checking in ROS2/MoveIt2, build perception components for detection and point-cloud processing, write tested C++/Python code, debug software-hardware integration, and participate in code reviews, CI, and agile practices in onsite R&D/production facilities.

Build and prototype polished, high-fidelity customer-facing web components and UX platforms; iterate based on user and stakeholder feedback; use data to drive improvements; create wireframes and experiments; integrate with backend services via REST/GraphQL and ensure designs scale.

Build scalable full‑stack features for Power BI and Azure Data: implement responsive web UIs, backend APIs and databases, integrate with LLM-based agents, ensure security, reliability, observability, and participate in code reviews and triage.

Build and operate internal AI platform services: chat/agent frontends, retrieval over code/docs, AI-native developer workflows, sandboxed execution, model routing, telemetry, and compliance-minded design for regulated aerospace environments.

Develop scalable web applications using React and Next.js, implement backend solutions in Python, maintain DevOps practices, and collaborate with AI/ML teams to deploy applications.

Build scalable backend systems, develop LLM agents, and ensure fast adaptation in a dynamic environment at Sentra.

As a Software Engineer, you will develop software solutions for cryopreservation projects, build data pipelines, and collaborate across teams to enhance scientific capabilities.