Top Engineering Jobs in Vancouver

Lead live sessions, office hours, and project reviews for senior engineers transitioning into system architecture. Provide detailed architecture critiques, mentor students one-on-one, run architecture review boards, record instructional videos, conduct mock interviews, and coordinate supporting instructors to ensure high technical standards and student readiness for architecture roles.

Author and refine a systems-engineering curriculum for experienced engineers: shape syllabus, define learning objectives, produce and fact-check AI-assisted lessons, design hands-on projects, write rubrics and reviewer guides, and iterate with an LX designer. Part-time (15-20 hrs/week) for ~4-6 months.

Lead a hands-on engineering team to improve kernel-centric reliability of large AI compute clusters. Own technical vision, build diagnostic and debug tooling, collaborate with SW and HW teams to reduce downtime, speed failure analysis, and mentor engineers to deliver scalable, reliable production systems.

Lead and mentor an engineering team to deliver high-quality web and mobile products. Own performance management, strategic planning, backlog prioritization, cross-functional collaboration with Product and Design, technical excellence, and conflict resolution. Drive continuous improvement in architecture, code quality, and team processes.

Wayvia is building a talent pipeline for engineering roles focusing on backend systems, data pipelines, and product engineering. They seek curious and collaborative engineers to connect with and solve future challenges.

As a Software Engineer, you will resolve complex customer issues related to Ubuntu and open source software, participate in upstream communities, and develop and review code across multiple layers of the software stack.

The Support Engineering Manager oversees a support team providing technical solutions for Ubuntu products, ensuring customer satisfaction and team development.

Lead technical reliability work across platform and product teams: design guardrails, build incident mitigation tooling, run load testing, translate findings into platform-wide reliability improvements, and influence engineering standards and practices.

Senior executive to create, structure, and scale a client-facing Engineering Services business unit for Virtuos. Own strategy, service offerings, talent, growth, commercial performance, delivery governance, and global deployment.

Lead a 8–15 engineer product squad as a servant leader: hire and grow engineers, own team budget and headcount, drive predictable high-quality delivery, embed AI practices, shape processes and outcomes, ensure engineering excellence (testing, validation, developer experience), and partner across Product and Delivery. Act as a peer in the engineering-management leadership team.

Create educational product videos, present at webinars and conferences, write sample code and documentation, review and respond to content and audience questions, and support developer-focused marketing/education.

Lead a Product Engineering squad (8–15 engineers), prioritize people development, hiring, process, and predictable delivery. Drive AI-native practices, technical credibility, customer-focused outcomes, testing/validation, and cross-functional partnerships while owning team budget and headcount.

Lead the design and delivery of an end-to-end AI system layer across the product: agentic workflows, orchestration, evaluation, guardrails, observability, and developer platform. Build and grow a multi-team org, partner with Product and Design, define how AI decisions flow across cross-product context, and ensure reliable, measurable, and safe autonomous behaviors that proactively help small-business users.

Lead and grow a Mid-Market Solutions Engineering team: hire, coach, and operationalize demo, trial, and RFP processes; partner with sales leadership to accelerate deals; build scalable systems, feedback loops, and enablement to drive revenue and product insights.

Lead and scale an enterprise Solutions Engineering team to win complex SaaS deals. Hire and coach SEs, drive technical deal execution (demos, POCs, security reviews, RFPs), build scalable processes and enablement, partner with Product/Engineering and Sales, and lead strategic initiatives from diagnosis through implementation to impact revenue and product direction.

Lead engineering to shift GTM from no-code automation to code-first, AI-agent-driven systems. Design scalable backend pipelines, integrate CRMs/APIs, build reusable agent frameworks, ensure reliability and observability, and hire/mentor a distributed engineering team to deliver production GTM infrastructure.

Lead Kraken's Data Platform team focused on real-time infrastructure for data systems, managing team dynamics, architecture design, and promoting AI automation.

The VP of Data & AI Engineering leads Duck Creek's enterprise data and AI strategy, overseeing global teams, implementing scalable platforms, and ensuring data governance and responsible AI practices.

The Director of Engineering will lead and scale Buzz Solutions' engineering organization, focusing on AI, infrastructure, and platform systems while ensuring best practices and high-quality solutions.

Lead a team of cloud engineers to design, implement, secure, and optimize cloud-native landing zones on Azure and GCP. Own IaC (Terraform/Ansible), container orchestration (Kubernetes/Docker), CI/CD, monitoring, cost and security optimization, cross-functional integration, documentation, and mentoring.

Provide tools and hands-on support to analog circuit and custom layout teams using Cadence EDA tools. Support design capture, pre/post-layout simulation, optimization, EM/IR and thermal analysis, reliability and 2.5D/3D IC flows, and develop AI-driven tooling and improvements to increase efficiency and quality.

Own and improve developer experience from local setup to production: stabilize reproducible dev environments, optimize CI/build/test pipelines, integrate AI-assisted workflows, measure productivity (DORA), improve code review and test infrastructure, and build tools and dashboards that reduce cycle time and friction for engineers.

Design and architect multi-agent orchestration frameworks, build tool-calling pipelines and reasoning loops, and optimize latency and token usage for real-time agentic workflows and autonomous operations.

Run adversarial tests on language and multimodal models, build guardrails and real-time filters for autonomous tool use, and support RLHF alignment and constitutional AI development to ensure safe AI deployment.

Optimize, compress, and distill large language and vision models for on-device inference. Build pipelines for distillation and hardware-specific compilation, and benchmark performance across NPU/GPU architectures.