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.

Build privacy-focused services and infrastructure that support consumer privacy rights across Block. Collaborate with engineering, security, platform, and legal teams to embed privacy solutions, define future privacy technology, mentor engineers, review implementations, and maintain monitoring and system stability. The role involves developing scalable, testable software and creating architectures and processes addressing data governance, data flows, access control, security, and privacy risks.

Build internal services and infrastructure that support privacy initiatives and consumer privacy rights. Collaborate with engineering, security, platform, and legal teams to integrate privacy technologies, define privacy architecture, mentor engineers, review implementations, and maintain reliable privacy solutions. The role focuses on responsible data use, governance, data flows, access controls, and reducing privacy risk across Block’s engineering ecosystem.

Own and evolve Samsara’s growth engineering platform, including secure CI/CD, AWS infrastructure, Infrastructure as Code, observability, security automation, disaster recovery, self-service tooling, and progressive delivery. Build AI-assisted SRE capabilities, ephemeral environments, and automated safeguards while contributing to customer-facing backend features. Mentor engineers and improve reliability, security, developer velocity, and operational efficiency across production systems.

Provide technical direction for GitLab Dedicated, a managed single-tenant SaaS platform. Lead architecture and transformation across resilience, failover, tenant orchestration, change management, automation, and platform integrations. Identify systemic reliability and scalability risks, establish reusable platform patterns, strengthen service ownership, and guide cross-team technical decisions. Mentor senior engineers and advance engineering excellence across the organization.

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.

Develops, tests, debugs, and supports software features, services, and components for Microsoft products and platforms. Responsibilities include writing maintainable code, participating in code reviews, creating automated tests, improving system reliability and scalability, troubleshooting production issues, documenting designs, and collaborating with product managers, designers, and engineers in an agile environment.

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.

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 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 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 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.