Top Engineering Jobs in Vancouver

Lead delivery and growth of Honeycomb Private Cloud, including infrastructure, tooling, operational processes, customer engagements, and cross-organizational engineering priorities. Build and develop a senior engineering team, maintain operational health and on-call practices, support enterprise security and procurement processes, and scale the product for increased demand. The role requires Kubernetes and AWS fluency, customer-facing leadership, strong prioritization, and experience operating software in private cloud, on-premises, or similar environments.

Executive engineering leader responsible for shaping product and technology strategy, aligning the executive team, communicating direction across a distributed organization, and leading a high-performing engineering organization through AI-driven change. The role requires technical credibility, experience managing large-scale directional shifts, distributed-team leadership, strong written and verbal communication, and the ability to operate strategically amid uncertainty.

Leads multidisciplinary engineering execution for major industrial projects, overseeing technical governance, design coordination, engineering resources, schedules, deliverables, risk management, compliance, and stakeholder interfaces. Reviews technical documentation, supports procurement and construction teams, manages design changes, resolves engineering issues, and mentors engineering personnel. Requires a bachelor’s degree in engineering, British Columbia P.Eng. designation or eligibility, at least 10 years of engineering experience, and five years in engineering leadership or management.

Design and develop complex electronic systems across the full product lifecycle, including specifications, circuit design, simulations, schematic capture, PCB layout, prototyping, testing, validation, manufacturing release, and product support. Collaborate with multidisciplinary teams on hardware product development and research projects involving sensors, power supplies, processors, memory, high-speed interfaces, and RF components.

Leads a cloud platform engineering team responsible for cloud architecture, standards, automation, security, reliability, availability, and performance. Partners with architecture, risk, security, and application teams to deliver resilient cloud services and platform capabilities. Oversees cloud infrastructure enhancements, controls, observability, and operational excellence while managing staff development, hiring, performance, and technical strategy.

Leads and scales Scribd’s Analytics Engineering organization, building high-performing teams and governed data foundations for AI-driven decision-making. Oversees canonical data models, semantic layers, quality, observability, documentation, security, lineage, and platform standards. Partners with engineering and business leaders to guide architecture, prioritize investments, and deliver reliable data products with measurable impact. Requires strong technical judgment, advanced SQL, modern data stack experience, cross-functional leadership, and 10+ years of relevant experience.

Junior engineers and geoscientists perform field investigations, construction monitoring, geotechnical and hydrotechnical assessments, data interpretation, reporting, analysis, and design support. Work combines office and remote field assignments involving drilling, testing, instrumentation, geohazard assessment, site characterization, water studies, and infrastructure projects. Candidates may support mining, pipeline, transportation, energy, and community-sector clients under the guidance of technical experts.

Leads a team of application development engineers delivering complex enterprise software solutions. Oversees project scope, schedules, budgets, vendors, risks, security, service transitions, prototypes, staffing, performance management, and technical development. Partners with architects, data specialists, Security, and SRE teams while ensuring application quality, stability, and policy compliance. Requires strong leadership, communication, coaching, application architecture, DevOps, Agile, database, and data governance expertise.

Leads strategy and execution for large-scale data engineering and analytics programs. Coordinates engineering, data science, product, and business stakeholders; manages roadmaps, dependencies, milestones, risks, reporting, and delivery. Ensures data definitions, transformations, models, and downstream analytics remain accurate and fit for purpose while navigating complex, ambiguous initiatives involving multiple teams and partners.

Lead complex enterprise SaaS sales for engineering firms across North America. Manage the full sales cycle from qualified leads and discovery through pilots, procurement, negotiation, and multi-year contract close. Build relationships with executives, engineers, and internal champions; generate outbound pipeline; represent the company at industry events; and collaborate with Product, Marketing, and Customer Success to support onboarding and expansion.

Leads Gartner research and thought leadership on applying AI and agentic capabilities across software engineering. Advises global software engineering executives on AI strategy, opportunity prioritization, roadmap planning, value measurement, ROI, and developer productivity. Produces research, market analysis, presentations, and client recommendations; supports sales and conferences; mentors analysts; and contributes to research strategy and process improvements.

Provides strategic research, thought leadership, and client advisory services on software engineering for AI-native applications and agentic systems. Develops market insights, analyzes trends, presents recommendations to executives, supports sales and conferences, reviews content, mentors analysts, and improves research processes. Requires deep practical knowledge of LLM applications, agentic AI frameworks, orchestration, production architecture, and emerging AI platforms. This remote individual contributor role requires 12+ years of relevant experience and travel up to 25%.

Leads FormFactor’s global Technical Support Engineering organization, overseeing technical escalations, advanced troubleshooting, failure analysis, service readiness, documentation, training, and customer issue resolution. The role coordinates with Engineering, Product Management, Manufacturing, Quality, and Service Operations to improve product reliability, support scalability, and customer satisfaction. It also establishes support standards, KPIs, certification programs, knowledge-management systems, and talent-development strategies while building and coaching global technical teams.

Leads and mentors a global Site Reliability Engineering team supporting cloud-based Identity and Access Management services. Responsibilities include managing team performance, shaping product roadmaps, driving technical innovation, operating in an Agile environment, developing best practices, and diagnosing system reliability and performance. The role requires extensive experience with large-scale distributed systems, cloud-native deployments, containers, scripting, and software development lifecycles.

Leads software engineering teams developing and maintaining e-commerce web and mobile platforms, including front-end, middleware, backend integrations, and ERP systems. Responsibilities include people leadership, technical design, architecture, coding, code reviews, testing, performance optimization, production support, roadmap development, talent growth, and cross-functional project delivery. The role also serves as a technical escalation point and contributes to software development lifecycle improvements.

Leads e-commerce software engineering teams delivering web and mobile platforms. Responsibilities include people leadership, architecture, technical roadmaps, code reviews, development, testing, performance tuning, production support, incident escalation, resource planning, and collaboration with product, project, and program leaders. The role requires full-stack web development expertise, Adobe Commerce experience, ERP integrations, databases, front-end technologies, Agile/Scrum practices, and strong communication skills.

Design, build, test, and operate scalable backend services, APIs, event-driven workflows, and customer-facing experiences for Salesforce’s Momentum product. Process high-volume conversation and transcript data while ensuring security, privacy, compliance, observability, and reliability. Apply test-driven development, CI/CD, prompt engineering, and AI-assisted development practices. Participate in architecture reviews, production troubleshooting, on-call support, and cross-functional collaboration.

Lead and mentor a 5–7 person engineering team responsible for Travel partner integrations, embedded protection products, hosted purchase flows, and travel ancillaries. Translate product goals into technical roadmaps, guide architecture and delivery, promote operational excellence, and ensure reliable microservices-based systems. Drive responsible adoption of AI-assisted development tools while partnering with product, design, engineering, and external partner teams.

Lead the technical direction and hands-on development of a real-time fraud detection platform, including streaming, storage, distributed systems, machine learning training pipelines, and AI-assisted engineering tools. The role drives architecture, technical planning, operational health, incident prevention, production support, and collaboration with Product and customer-facing teams. It also mentors engineers, establishes AI-assisted development standards, and evaluates LLM- and agent-based tools for engineering operations.

Leads and mentors an 8–10-person software engineering team in Vancouver. Oversees architecture, code quality, technical roadmaps, Agile delivery, development toolchain modernization, and technical debt reduction for complex C++ and C# applications. Participates in hiring, onboarding, architectural discussions, code reviews, and cross-functional stakeholder communication. The role supports large-scale APIs, media streaming, hardware integrations, CI/CD, test automation, and cloud or on-premise systems.

Lead manufacturing engineering for a general-purpose robot from engineering builds through pilot and volume production. Design production processes, stations, fixtures, tooling, testing, documentation, capacity plans, and quality gates. Transfer processes to contract manufacturing partners, build and lead engineering and technician teams, manage training and certification, and establish traceability and production metrics. Ensure yield, quality, cost, and schedule performance through data-driven continuous improvement.

Leads 1Password’s analytics engineering function, owning data architecture, roadmap, modeling, semantic layers, BI tooling, pipelines, governance, testing, documentation, and data quality. Manages and develops analytics engineers, establishes technical standards, reviews complex dbt and SQL work, optimizes warehouse performance, and partners with senior leaders across Finance, Marketing, Product, Analytics, and Data Engineering. Builds trusted data foundations supporting company-wide decisions, AI initiatives, and generative BI.

Supports investment analytics discovery, methodology research, scalable performance and risk analytics, data visualization, business intelligence, workflow improvement, data pipeline development, and AI applications. The intern collaborates with project leads to modernize analytics platforms and improve investment decision-making. Candidates should be pursuing a quantitative degree and demonstrate foundational data skills, analytical problem-solving, collaboration, and interest in asset management and technology.

Lead technical execution for teams building endpoint agents, backend and inference services, cloud infrastructure, and customer-facing products. Translate engineering priorities into plans, milestones, and ownership; guide architecture and implementation; manage, mentor, and develop engineers; oversee planning, delivery, quality, hiring, and onboarding; and remove technical or resourcing blockers. The role requires hands-on technical judgment, distributed systems experience, and familiarity with agentic coding tools in a fast-moving startup environment.

Leads a small platform engineering team supporting investment operations. Responsibilities include setting reliability and deployment standards, designing integrations and data workflows, improving observability, building automation and AIOps capabilities, strengthening production controls, and resolving complex reliability incidents. The manager mentors engineers while remaining hands-on across infrastructure, orchestration, CI/CD, data quality, reconciliation, auditability, and regulated financial technology environments.