Top Software Engineer Jobs in Vancouver

Full-stack developer working across frontend (React, TypeScript) and backend (Java 14+) to build scalable commerce intelligence systems. Responsibilities include collaborating with product and design, writing tests, owning end-to-end features, improving infrastructure (Terraform, Kubernetes), and mentoring teammates while delivering simple, extensible code.

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.

Build and maintain scalable financial data infrastructure, including ingestion, validation, normalization, and integrations. Develop systems that calculate portfolio performance metrics efficiently across high-volume datasets, improve reliability and observability, and support distributed processing. Create internal tools, dashboards, reusable schemas, asset data feeds, and self-service analytics capabilities. Collaborate cross-functionally to expand market-data coverage, support B2B integrations, and strengthen operational resilience.

Design, build, and operate scalable data ingestion, replication, and lakehouse infrastructure to move petabytes of data into a Delta Lake on S3. Improve reliability, observability, security, and developer experience for Spark/Databricks processing. Develop internal libraries and tooling (Go/Python), collaborate with cross-functional teams, and help shape long-term data platform and AI-ready infrastructure.

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.

Lead technical direction for developer platform tooling: CI/CD, build systems, and AI coding agents. Design, build, and scale AI agents for coding, code review, testing, release automation, and incident response. Standardize tools, mentor engineers, drive cross-team technical projects, and represent the platform externally.

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.

Develop high-quality, resilient software across Ubuntu and the open source stack, from Linux systems and firmware to cloud, containers, and desktop applications. Contribute to product roadmaps, user experience, code reviews, issue resolution, security, and enterprise requirements. Collaborate remotely with global engineering teams and the open source community, while building expertise in programming languages and Linux systems. Attend international company sprints twice yearly.

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.

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.

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

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.

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.

Develop and maintain MCP tools and the MCP Toolbox for Databases; expand test coverage for agentic coding assistants; refactor and maintain test frameworks; convert technical posts into production-ready sample code and documentation; build real-world data applications (QueryData) to support product R&D and collaborate with cross-functional teams to accelerate agentic AI adoption.

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.

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.

The Backend Software Engineer will develop and maintain backend systems for data processing related to coffee farming, utilizing Python and PostgreSQL. Responsibilities include feature development, problem-solving, and adapting systems to regulatory changes while ensuring system resilience.

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 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.

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.