Top Engineering Jobs in Vancouver

Leads Core Infrastructure and Operations Engineering across SRE, operations, data and AI platforms, and database engineering. Owns the cloud platform and infrastructure-as-a-product strategy, drives reliability, scalability, governance, and operational excellence, and manages managers and distributed engineering teams. Partners with executives and cross-functional leaders on platform roadmaps, incidents, cost optimization, AI governance, and high-impact infrastructure initiatives.

Leads Samsara’s globally distributed Core Infrastructure team, owning strategy and roadmaps across compute, networking, storage, cloud systems, reliability, and operational efficiency. Responsibilities include developing engineers, improving capacity management and observability, strengthening incident response and disaster recovery, building automation and self-service infrastructure, and applying AI-enabled tools to reduce toil. The role requires significant software engineering and people-management experience, strong technical judgment, and expertise in large-scale cloud or distributed platforms.

Build and lead a globally distributed DevOps engineering team responsible for reliable platform capabilities and repository experiences. Hire, mentor, and develop engineers; guide architecture, security, performance, and maintainability; align delivery with product and design; improve agile workflows and execution; integrate AI-assisted tooling; and support operational health, reliability, and incident management.

Leads Samsara’s Quality Engineering and Test Infrastructure organization, setting strategy and building scalable testing platforms, automation frameworks, environments, simulators, test data systems, and CI/CD integrations. Establishes quality metrics, improves regression prevention and release confidence, reduces flaky tests and feedback times, and partners across engineering and product teams. The role also includes AI-assisted testing initiatives, exploratory validation, organizational leadership, hiring, coaching, and developing engineering managers and senior individual contributors.

Design, build, test, launch, and operate full-stack services automating responses to legal, regulatory, and civil requests. Develop backend systems, internal web tools, and integrations across microservice and event-driven architectures. Collaborate with Counsel, Compliance, and Operations while handling sensitive customer data. Participate in on-call, incident response, code reviews, modernization efforts, and responsible use of AI-powered development tools.

Leads an AI engineering team delivering enterprise AI tools, agents, retrieval systems, automations, and services. Owns AI architecture, integrations, deployment, model access, standards, evaluations, and monitoring. Partners with business, engineering, data, IT, legal, security, and privacy stakeholders to identify opportunities, move prototypes into production, drive adoption, manage vendors, and build scalable, secure, reusable AI capabilities.

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.

Supports the instrumentation maintenance and innovations team through CAD drafting, technical documentation, layout surveys, equipment reviews, bills of materials, calculations, revision control, and engineering change requests. The role involves architectural, mechanical, and general technical drafting, hands-on site measurements, document repository maintenance, and equipment manual support while following safety procedures and quality standards.

Leads technical direction and develops fullstack purchase experiences using Ruby on Rails and Vue.js. Designs resilient transactional flows, integrates billing and CRM systems, improves reliability and rollout safety, mentors engineers, reviews code, reduces technical debt, and participates in incident response. Partners with Product, Design, Billing, and Support to improve GitLab’s purchase, subscription, discount, and upgrade workflows.

Leads a Site Reliability Engineering team responsible for application health, scalability, resilience, performance, and production readiness. Oversees incident response, root-cause analysis, monitoring, alerting, capacity planning, CI/CD operational gates, and automation. Partners with development and product teams to establish SLOs, improve reliability, reduce operational toil, and support high-availability systems. Manages employee development, technical standards, documentation, and continuous improvement across distributed teams.

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.

Leads enterprise platform engineering, reliability, observability, control-plane architecture, release governance, automation, and integration reliability. Establishes SRE standards, CI/CD practices, infrastructure patterns, telemetry, change controls, and workflow orchestration across a regulated technology environment. Partners with infrastructure, security, data, service desk, platform teams, and vendors to improve stability, incident response, deployment predictability, and operational efficiency.

Build and operationalize an investment constraints governance framework within Portfolio Compliance. Develop governance workflows, controls, process documentation, reporting, and automation solutions using Microsoft Power Platform, Power Automate, and Power BI. Partner with compliance, investment, legal, operations, and technology stakeholders to translate requirements into scalable processes, coordinate implementations and testing, improve efficiency, and support strategic operational risk initiatives.

Maintain and validate performance, attribution, and risk analytics across systems; investigate data-quality exceptions; manage scheduled analytics processes; improve automation, scalability, and governance; identify and mitigate process risks; implement controls; and serve as an analytics expert and escalation point. The role requires strong quantitative problem-solving, communication, independent judgment, and familiarity with Python, SQL, automation platforms, and modern data platforms.

Lead multiple micro-sized engineering squads across frontend, backend, data, integrations, and AWS infrastructure. Own capacity planning, project sequencing, delivery standards, stakeholder trade-offs, sprint execution, operational health, and technical debt reduction. Coach engineers and technical leaders, support project rotations, promote AI-assisted development, and build an accountable, adaptable engineering culture focused on reliable business outcomes.

Leads engineering for agentic workflows and natural language experiences, managing two teams and contributing to broader engineering leadership. Responsibilities include building efficient development processes, delivering scalable and reliable software roadmaps, hiring and mentoring engineers, providing technical leadership across the software lifecycle, maintaining operational excellence and security standards, and collaborating with product, data/AI, customer success, partnerships, and business stakeholders.

Lead the Content Foundations engineering team and evolve Scribd’s high-scale document ingestion platform into a real-time, AI-native system. Responsibilities include setting technical strategy, integrating AI and ML capabilities, overseeing distributed data infrastructure, ensuring security and operational reliability, managing the roadmap, hiring and developing backend and AI data engineers, and partnering with product and engineering leaders across the organization.

Leads and develops a high-performing software and systems engineering team. Provides technical direction, people management, coaching, recruitment, performance management, and succession planning. Oversees product delivery, architecture, quality, governance, documentation, development practices, and technical health. Collaborates with Product Management, Operations, Sales, and other functions to deliver valuable, maintainable customer solutions and support platform evolution.

Leads facility, design, and process engineering teams within a pharmaceutical CDMO. Responsibilities include engineering strategy, team development, operational excellence, asset lifecycle and maintenance planning, capital investment, equipment design, project delivery, compliance with GMP and ISPE requirements, and continuous improvement of engineering systems and documentation.

Lead and develop a Tooling team focused on developer experience, engineering productivity, CI/CD, deployment automation, observability, release workflows, and internal platforms. Define the tooling strategy and roadmap, partner with Infrastructure, Security, and Product Engineering, improve DORA metrics and operational reliability, and guide adoption of AI-assisted development workflows. The role also includes coaching engineers, leading cross-functional initiatives, and delivering secure, scalable platforms that reduce developer friction.

Debug and improve software across diverse codebases, identify and remediate vulnerabilities, conduct security audits and penetration testing, refactor legacy systems, optimize backend applications, and document technical findings. The role contributes cybersecurity and software engineering expertise to AI training datasets while working independently on project-defined tasks.

Provides technical leadership for complex engineering and manufacturing projects from concept through post-implementation. Manages project scope, budgets, schedules, equipment procurement, installation, qualification, compliance, and external resources. Supports manufacturing troubleshooting, quality investigations, process improvements, new product introduction, and capital projects. Develops engineering strategies, approves technical and qualification documentation, leads cross-functional teams, and mentors engineers while ensuring cGMP, quality, safety, cost, and productivity objectives are met.

Leads site reliability engineering for large-scale, privacy-focused infrastructure. Responsibilities include managing SRE teams, solving complex software and systems reliability challenges, supporting 24x7 operations, troubleshooting distributed Linux and web systems, developing automation, improving observability and incident response, deploying applications with Docker, and shaping technical direction. The role also requires advanced programming, AI-driven development, agentic workflows, and ownership of high-impact projects from proposal through postmortem.

Leads a remote engineering team building scalable Python and Golang microservices for Canonical’s software distribution marketplaces. Responsibilities include mentoring and developing engineers, managing delivery and expectations, shaping technical strategy and roadmaps, reviewing code, guiding architecture, maintaining engineering quality, and collaborating with product managers, architects, other teams, open-source contributors, and commercial partners.

Lead and grow the engineering team responsible for Fellow’s desktop, mobile, botless recording, and real-time media platforms. Manage and develop engineers while remaining hands-on with production code, architecture, incident response, and technical direction. Improve reliability, observability, and operational excellence; partner cross-functionally on priorities; and advance AI-assisted development practices. The role includes shaping future operating-system integrations, mobile capabilities, recording environments, and on-device intelligence.