Top Software Engineer Jobs in Vancouver

The Staff Software Engineer will drive product innovation in distributed data systems, working on log analytics, AI/BI, data governance, and app development.

Design, build, and test a Rust eBPF agent and other syscall-related agents. Contribute to architecture, investigate and resolve complex field issues, write unit and integration tests, and collaborate with cross-functional teams in an Agile SDLC.

The Senior Software Engineer will manage data systems, develop scalable pipelines, ensure data security, and build self-service applications for users at Coinbase.

Lead design and delivery of backend risk systems to detect and prevent fraud, manage credit and market risk, and protect users. Drive architecture for distributed, high-availability services, partner with Data Science/ML and product teams, build AI-native detection and response systems, mentor engineers, own operational excellence, and lead incident response and post-mortems.

Build and maintain scalable, secure, compliant web applications and services using Node.js/TypeScript and MongoDB. Own features end-to-end, integrate third-party APIs, troubleshoot across frontend/backend/db layers, write automated tests, participate in code reviews, and provide Tier 3 support. Collaborate with product, design, and support teams and use AI-assisted development tools to improve workflows.

As a Software Engineer, you will collaborate in small teams, transform legacy systems, apply modern engineering practices, and continuously learn and grow.

Build and ship full‑stack product features for a browser-based CAD application: own front-end architecture and UX, maintain backend services (APIs, Postgres on GCP), write well-tested high-performance code (including C++ core), and lead customer-facing technical engagements to turn feedback into product improvements.

Develop and optimize distributed systems for syncing customer data, focus on scalability, reliability, and performance for global clients.

Join the Billing squad to design and build a flexible billing engine, payment/tax integrations, rating and charging infrastructure, GraphQL APIs, and user interfaces within a serverless TypeScript microservices stack. Collaborate with product, QA, and design to deliver production-grade solutions for communications service providers.

Join the Platform squad to build and maintain a Typescript-based serverless microservices platform on AWS. Improve cloud availability, security, CI/CD, public APIs, data pipelines, internal DevOps libraries, and developer tooling while collaborating across product and engineering teams.

Lead architecture and long-term direction of a multi-petabyte data platform powering AI-driven advertising. Drive cross-team initiatives across data engineering, ML, and product; improve scalability, reliability, cost-efficiency, and operational excellence; mentor senior engineers and influence platform strategy and modernization.

Lead development on Avigilon Unity video products, designing and implementing end-to-end software and APIs. Provide technical leadership within a Scrum team, mentor engineers, improve CI/CD, containerization, DevOps and test automation practices, and support maintenance and user support for large-scale, public-facing on-premise and cloud solutions.

Lead architecture, modernization, and implementation of a high-throughput, low-latency real-time bidding backend. Ensure scalability, performance, reliability, observability, and experimentation capabilities while mentoring engineers and collaborating with cross-functional partners.

Design, develop, and maintain scalable, low-latency distributed systems for a Cloud Gateway IoT platform. Build event-driven solutions using Kafka and Redis, deploy on cloud (AWS), optimize message brokers and data stores, participate in on-call rotations, improve CI/CD and monitoring, and collaborate cross-functionally to ensure reliability and performance.

Lead the Developer Environments team, enhancing software development productivity. Drive strategy, manage systems, and improve developer workflows and tooling.

Lead technical vision and architecture for an enterprise data platform. Design scalable ETL/ELT pipelines (dbt, Python, SQL), data models, streaming ingestion (Kafka, Snowpipe), orchestration (Airflow/MWAA), IaC/CI-CD, observability (Datadog), governance, and mentor engineers while collaborating cross-functionally to improve platform reliability and AI-driven practices.

Lead architecture and evolution of the enterprise data platform. Design scalable ETL/ELT pipelines, optimize cloud data warehouses, standardize semantic layer, drive CI/CD and IaC, adopt streaming ingestion, implement observability and governance, mentor engineers, and improve data quality and platform reliability across analytics and ML use cases.

Design, develop and maintain Salesforce-centric integrations. Provide technical leadership, write testable code, build E2E integration tests, mentor teammates, support CI/CD pipelines, monitor production, and participate in Agile practices and on-call support.

Lead and deliver AI-native full‑stack engineering projects from prototype to production. Collaborate with PM, design, and analytics, mentor engineers, define technical plans, ensure operational reliability, and drive quality, code review standards, and on-call support for rapid, experiment-driven product development.

As a Software Engineer, you will create tools and pipelines for AI development, manage data solutions for ML teams, and ensure high-quality code.

Build tools and infrastructure for training language and multi-agent models in interactive environments; research and implement advances in language modeling and reinforcement learning; contribute to publications and open-source projects.

Build and maintain end-to-end web applications powering sales and operations. Design tools for quoting, scheduling, and fulfillment, integrate AI into products, collaborate on UX, ship high-impact features, and contribute to architecture, deployment, and engineering culture.

Join as the founding full-stack engineer to extend a TypeScript React/Next.js prototype, design product features, integrate AI/OCR, write tests and infrastructure, talk to users, and iterate quickly to drive growth.

As an ML Engineer at Luma AI, you will design high-performance model serving pipelines, manage GPU resources, and optimize CI/CD for large-scale AI systems.

The ML Engineer will integrate model architectures, optimize deployment workflows, maintain CI/CD pipelines, and ensure reliability of inference services across large-scale systems.