Top Engineering Jobs in Vancouver

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 small engineering team to design, build, and operate PlanHub's email delivery platform. Own architecture, cloud-native infrastructure (AWS, Terraform/OpenTofu, ECS), observability, reliability, and AI-assisted development practices. Mentor engineers, partner with product and infra teams, and drive scalable, fault-tolerant systems to support critical transactional email workflows and business needs.

Lead Booking engineering (five teams) to deliver high-scale scheduling, booking, communications, telehealth, and marketplace systems. Hire and grow engineering leaders, shape technical and AI strategy (agentic workflows, evals), drive high-velocity delivery with quality, partner with Product and Design, and scale the org through new product lines and rising customer demand.

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

The VP of Software Engineering leads the engineering organization, driving software development, scaling teams, and ensuring compliance with standards while collaborating across functions to support product and customer success.

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

Lead strategy and operations for Magnet's cloud platform and shared services, ensuring reliability, security, compliance, cost governance, and developer experience. Oversee cloud infrastructure, observability, CI/CD, identity services, FinOps, AI enablement, vendor management, and cross-functional initiatives to support large-scale SaaS products.

Lead and scale a global engineering organization to deliver enterprise-grade AI/GenAI SaaS products. Define technology strategy and roadmap, drive architecture for LLMs/RAG/NLP systems, ensure scalability/reliability, establish DevOps and quality practices, partner with Product/Sales/Customer teams, and manage hiring, budgets, and leadership development.

Lead Release Management, QA, and DevOps to build an automation-first quality engineering framework. Drive CI/CD, platform reliability, observability, and release gate processes across multi-platform (web and native) products. Coach QA toward automation, implement test data and environment standards, partner with product and support on release readiness and post-release remediation, and champion AI-assisted coding and testing adoption.

Design, build, and operate cloud and distributed Edge infrastructure and deployment automation. Implement CI/CD, release orchestration, observability, secrets and certificate management, and resilient architectures. Integrate AI-assisted engineering and support AI-native, agentic workloads while ensuring scalability, reliability, security, and disaster recovery.

Lead and grow a Support Engineering team that resolves complex product issues, integrations, and data workflows. Define escalation and triage practices, build scalable diagnostics and internal tools, collaborate closely with Engineering and Product, mentor engineers on debugging, logs, and database querying, and create repeatable processes to improve customer outcomes and support efficiency.

Lead the development and deployment of advanced machine learning models focusing on NLP, while ensuring model integrity and communication with stakeholders.

The Software Engineering Lead will design and maintain enterprise software applications, develop APIs, and build back-end systems, ensuring quality and best practices.

As an AI Automations Engineer, you will design and build tooling for GTM, Operations, and Finance teams, automating processes and enhancing systems with a focus on AI.

The Director of Software Engineering role focuses on enhancing Jobber's AI capabilities, overseeing the integration of intelligent workflows across products to support small business operations more effectively.

Lead high-complexity privacy engineering initiatives across DuckDuckGo products. Own privacy reviews, audits, and technical programs from definition to delivery; build automation and privacy-preserving infrastructure; evolve triage and review processes; drive cross-functional projects; and hire and mentor privacy engineering talent while shaping company-wide privacy strategy.

As an Engineering Manager, you will lead the Software Distribution Project, manage technical specifications, develop software, and resolve customer issues.

Lead a small scrum team as hands-on technical authority, writing and reviewing full-stack C#/.NET, Angular, and Oracle code; run sprint ceremonies; drive AI-first tooling adoption; manage and develop 4–5 engineers; coordinate cross-functional delivery and client engagement.

Lead a small scrum team as the daily technical authority: write and review full-stack C#/.NET and Angular code, run scrum ceremonies, set priorities, unblock engineers, enforce quality standards, drive AI-first tooling adoption, manage 4–5 engineers, engage client stakeholders, and coordinate cross-team delivery and release readiness.

Technical lead for a scrum team building reporting/BI capabilities for the CEM platform. Hands-on work in SQL/Oracle and BI tooling, sprint leadership, query performance tuning, AI-first tooling adoption, people management for 4–5 engineers, client-facing requirements gathering, and cross-team collaboration to ensure high-quality, performant reporting solutions.

Founding technical role to design, build, and deploy internal AI tools and agents using LLMs and retrieval systems. Partner with investors and the data team to accelerate sourcing, diligence, portfolio insights, and define CRV's AI strategy through rapid prototyping and production-grade systems.

Lead the engineering team managing 300+ destination integrations, focusing on technical execution, product improvements, and mentoring engineers while ensuring customer satisfaction.

Lead execution and day-to-day operations for a globally distributed engineering team (~10 engineers). Own sprint commitments, release cycles, incident management/on-call, asynchronous processes, and delivery metrics (DORA). Champion AI-augmented development, mentor engineers, and balance planned roadmap work with reactive bug triage to maintain high velocity and uptime.

Lead and develop a remote team of Python engineers, ensuring their growth and satisfaction while driving high-quality software delivery.