Top Engineering Jobs in Vancouver

The role involves leading product development for Video-based Safety using AI and ML, defining roadmaps, and collaborating with engineering and sales teams to enhance safety solutions.

Lead multiple software engineering teams managing the Stratus Imaging Archive platform. Ensure delivery execution, mitigate risks, collaborate cross-functionally, and drive AI adoption. Grow leaders and teams, while advancing product capabilities in a cloud-native environment.

Manage the software engineering team for the Fraud Management Platform, providing technical leadership and driving system architecture for fraud prevention solutions.

Lead architectural design and project delivery for major federal projects. Collaborate across teams, drive business development and maintain client relationships. Mentor future designers while enhancing operational performance.

As a Product Manager, own the roadmap for a new mobile finance app, drive execution, synthesize feedback, optimize product mechanics, and leverage AI tools.

Lead and grow a Maps & Search engineering team responsible for the home search experience across web and mobile. Stay hands-on with coding and architecture, scale a high-throughput search platform (~1B monthly requests), improve relevance and latency, integrate AI/LLMs into discovery and ranking, shape product roadmap, and own delivery, SLOs, and incident response.

Lead a new Vancouver engineering hub to improve planning, estimation, and delivery cadence. Drive migration from Microsoft SQL Server to Aurora Postgres and DynamoDB, build internal compliance and observability tooling, and apply AI tooling to surface database insights. Shield team from external pressures, remove dependencies, and maintain high system quality while scaling a distributed engineering group.

Lead and scale engineering teams responsible for GitLab platform reliability, scalability, and lifecycle across SaaS and self-managed environments. Drive operational excellence, incident management, cloud cost efficiency, observability, tenant controls, and upgrade tooling. Set strategy, partner cross-functionally, coach managers, and deliver platform architecture and tooling to support modular services and large-scale operations.

Manage and mentor a team of software engineers, deliver large-scale distributed systems, engage in architectural discussions, and ensure high-quality code delivery.

The Senior Infrastructure Software Engineer will re-architect Identity systems, focusing on large-scale distributed systems design, API design, and collaborate with teams to implement wide-ranging use cases while mentoring junior engineers.

The Staff Site Reliability Engineer will develop Dropbox's reliability strategy, enhance operational excellence, and lead cross-team initiatives. Responsibilities include improving monitoring and incident response systems, mentoring engineers, and aligning stakeholders on reliability priorities.

Lead design and implementation of shared, reusable data models and a certified metrics layer. Standardize pipeline patterns, CI/CD, and governance; modernize orchestration and observability; partner with Data Science, Infrastructure, and Product to deliver reliable analytics pipelines and enable AI-native data development.

Lead and grow a distributed Growth engineering team to run experiments, improve signup/onboarding/activation, and deliver measurable gains in discovery, conversion, engagement, and monetization. Hire, coach, and enable engineers; drive technical design, planning, and execution; partner with Product, Design, and Data; prioritize experiments and scale winning changes; and promote AI-native experimentation and strong cross-functional collaboration.

Lead developer-focused content strategy and author AI-optimized documentation, tutorials, and technical marketing assets. Collaborate with PMM, DevRel, engineering, and platform teams to improve searchability and AI discoverability, enable contributors, and measure impact using web metrics to drive adoption of 1Password developer tools.

Lead a 0-to-1 pilot team to find and fix high-leverage SDLC friction, instrument system-level metrics (MRPM, pipeline success rate, latency), recruit and mentor four engineers, design and implement durable fixes, and drive adoption across engineering teams while reporting metric-driven outcomes to leadership.

The Director of Embedded Systems Engineering will lead the firmware organization, oversee technical roadmaps, process architecture, and integrate AI tools while managing JDM partnerships and ensuring operational excellence.

The Principal Technical Product Manager will lead cross-functional teams in product strategy, feature development, and lifecycle management for a new unannounced AAA mobile game, using data analysis to guide decisions.

Lead the Platform Firmware team at Samsara, driving hardware program execution, managing firmware engineers, and collaborating with various stakeholders for high-quality hardware delivery.

Manage a technical team focused on Git and Git-related infrastructure, balancing upstream open-source work with GitLab priorities. Drive long-horizon scalability, performance, and architectural projects while fostering technical rigor, ownership, mentoring, and strong asynchronous communication across distributed teams.

The Head of Engineering, Platform will manage the engineering execution from architecture to delivery, focusing on improving AI workflows and team efficiency, while ensuring quality and reliability.

Lead the architectural vision for Bizplat, consolidating fragmented services into reusable platform capabilities. Design and build core systems (case management, workflow orchestration, AI/ML pipelines, event streaming), drive migrations, set engineering standards, mentor engineers, and partner with domain teams to translate operational needs into scalable, governable solutions.

Lead and oversee the Loans Lifecycle engineering organization, ensuring high-quality outcomes across backend services and financial reporting while driving growth and operational excellence.

Lead a team of ML engineers to develop and improve fraud detection models, defining strategies and fostering collaboration across functions to ensure effective model integration.

Lead the development of fraud prediction models, build feature pipelines, prototype modeling ideas, and productionize models while collaborating with cross-functional teams.

Build and maintain backend features for Agent Observability across the GitLab monolith and AI gateway. Design and implement GraphQL/REST APIs, improve automated tests (RSpec), collaborate cross-functionally, troubleshoot production issues on Tier 2 on-call, and help shape responsible AI integration and platform architecture.