Top Engineering Jobs in Vancouver

Lead the Reporting team at Vanta, focusing on AI-powered reporting and compliance. Drive execution across initiatives and shape technical strategies in collaboration with cross-functional teams.

Leads a team of 5–8 engineers, balancing people management with technical leadership. Responsibilities include career development, roadmap delivery, architectural guidance, code reviews, hiring, incident response, team culture, and delivery management. Partners with Product Management and Design to build scalable, reliable, user-focused SaaS products while contributing hands-on technically and supporting remote, asynchronous collaboration.

Lead global engineering governance, systems and standards; drive adoption of digital engineering, data and AI capabilities; align processes and tools for scalable delivery; use performance data to improve predictability and quality; govern software vendors and investments; partner with regional leaders to improve commercial and delivery outcomes.

Lead and manage systems engineering teams delivering rail and transit command, control, and communications systems. Oversee system-level engineering across design, integration, testing, commissioning, requirements, interface management, verification/validation, and systems assurance. Collaborate with multidisciplinary teams, contractors, authorities, suppliers, and operations to ensure operational readiness and long-term maintainability.

Lead the Technical Development team to ensure quality fit, construction, and execution of product design while supporting team growth.

This role involves designing and overseeing HV/MV systems for renewable energy projects, collaborating with cross-functional teams, and ensuring project compliance and efficiency.

The Ubuntu Engineering Lead will oversee and mentor teams, drive the development and delivery of high-quality software, and contribute to community engagement while managing technical roadmaps and cultivating engineering talent.

Lead and scale a Support Engineering team handling complex API and payments issues, own incident response and SLAs, build operational processes, drive metrics and automation, partner cross-functionally, and hire and develop team members.

Lead a software engineering team building omnichannel commerce services (inventory, delivery promise, integrations). Drive execution (OKRs, sprints, capacity, risk), engineering quality, metrics, AI-assisted practices, stakeholder collaboration, hiring, and vendor management to deliver reliable, scalable commerce capabilities.

Lead and grow a software engineering team building personalization, recommendation, and consumer intelligence services. Own delivery planning, OKRs, sprint execution, quality, CI/CD, experimentation adoption, metrics, vendor management, and coaching to drive reliable, data-driven consumer engagement experiences.

Lead platform engineering teams to execute platform strategy, roadmaps, and integration capabilities. Drive platform adoption, developer enablement, test automation, quality engineering, observability, AI-assisted tooling, and engineering productivity. Manage delivery planning, OKRs, sprints, capacity, dependencies, vendors, and stakeholder engagement while coaching and growing high-performing engineering teams.

Lead and grow a distributed software engineering team to design, ship, and support web-based features. Balance new feature delivery, technical debt, and system improvements; perform hands-on code review and triage; collaborate cross-functionally with product, design, and support; hire, coach, and mentor engineers; and establish processes for iterative, high-quality delivery that meet customer needs and SLAs.

Lead and grow a Detection engineering team building tools, applications, and infrastructure for fraud and abuse detection. Collaborate with engineers, scientists, and stakeholders to design, implement, and review scalable systems and features, mentor engineers, and contribute to code and architecture to improve detection capabilities.

The Mechanical Engineering Contractor designs mechanical parts and systems, collaborates with a multidisciplinary team, and manages projects from concept to production while interfacing with manufacturers.

Lead the architecture and development of enterprise software tools, focusing on secure cloud systems, Node.js applications, and AI integrations while ensuring quality and reliability.

Talent-network posting to collect engineers for future openings across full-stack, backend (Golang), frontend (React), mobile (iOS/Android/React Native), blockchain, AI, DevOps, security, data, and QA. Applicants should state domain, core technologies, location/time zone, and share links to profiles or projects. Fully remote; must have right to work in the country you are based.

Work as a full‑stack engineering intern writing production code across backend services, databases, and front‑end interfaces. Use MySQL, JSON, and third‑party APIs, debug existing systems, collaborate with senior engineers, and experiment with modern tooling (including AI-assisted development). Remote role (US/Canada) for 3–12 months.

Lead and develop a platform engineering team building real-time financial infrastructure. Set goals, improve velocity, close skill gaps (AI tooling, version control), define CI/CD and development standards, collaborate with product and stakeholders, and mentor engineers to take end-to-end ownership.

Lead delivery of complex highway and roadway design projects, managing multidisciplinary teams, schedules, budgets, QA/QC, client communication, and business development for municipal and provincial transportation clients.

Build and maintain AWS infrastructure using Terraform, CI/CD pipelines with GitHub Actions, and multi-region Kubernetes clusters. Improve Helm charts, observability, security, and developer experience while collaborating with product teams and participating in business-hours on-call rotation.

Lead and grow a remote AI engineering organization, manage ~30 forward-deployed engineers, maintain technical standards for agentic full‑stack applications, review architectures, run performance management and hiring, support client engagements, and drive team enablement, evaluation harnesses, and MLOps practices.

Lead and grow remote engineering teams across Supabase, owning people management, hiring, roadmap and delivery, incident command, SLOs, and cross-team coordination while driving engineering quality and async communication.

Lead and run engineering delivery end-to-end: own planning cadences, track projects, surface risks, command incident responses and run blameless RCAs, own delivery metrics, coach and grow engineers, run hiring pipeline, and enable the founder by removing operational load.

Lead a team of developers to architect and scale Node.js and Salesforce products, improve developer velocity, and enhance solution performance.

The AI/ML Engineering Manager leads ML engineering teams, manages client engagements, shapes architecture, ensures technical quality, and drives business growth through ML operations.