Engineering Director

IFS; Vancouver; On-site; CAD 180,000 - 250,000; Full time

Job summary

Copperleaf invites a strategic engineering leader to direct the Agentic Platform pillar within R&D. You will own delivery, quality, and operations across five cells—cloud infra, data, AI, extensions and integrations, and shared services—and build the leadership pipeline.

You will drive the Azure transition, modernize the platform, scale AI infrastructure, automate provisioning, and shape the 2027–2029 technology roadmap in collaboration with the VP of R&D and the Senior Principal

Responsibilities

• Lead the Engineering pillar. Own delivery, quality, and operations across the five cells. Hire, grow, and retain managers and senior engineers. Build succession depth so no part of the platform depends on one person.
• Finish the cloud transition. Move to Azure, retire legacy Windows-era infra on a timeline. Industrialize AI infra; take AI Agentic Platform from early adopter to production grade with multi-tenancy and compliant pipelines.
• Scale extension migration. Drive AI-powered migration of hundreds of customer extensions onto the modern platform; run the platform as a product with self-serve environments and partner-facing API.
• Shape the technical roadmap. Partner with VP of R&D and Senior Principal Architect on 2027-2029 technology roadmap and convert it into a sequenced plan the pillar delivers.

Job description

The Agentic Platform is the foundation layer of Copperleaf R&D. Everything the other two pillars ship, core product capability and AI-powered applications, runs on infrastructure, data, and services this team owns. As Director you will lead the pillar: five cells spanning cloud infrastructure, data platform, AI platform, extensions and integrations, and shared services. This is one of the most strategic technical leadership positions in the company. The platform carries our Azure transition, our next-generation AI infrastructure, and the modernization of a product surface trusted by critical-infrastructure customers worldwide. You will report directly to the VP of R&D, and your decisions will set the ceiling on how fast the entire R&D organization can move.

What you’ll do

• Lead the Engineering pillar. Own delivery, quality, and operations across the five cells. Hire, grow, and retain the managers and senior engineers who run them, and build the succession depth so no part of the platform depends on one person. Own the platform layers of the future architecture. In the target-state architecture the pillar owns the Platform Control Plane, the Platform Service Layer, and Deployment and Tenancy Options: shared capabilities certified once and consumed by every product, domain service, and agent, with tenancy models spanning dedicated and regulated, shared multi-tenant, and sovereign cloud.
• Finish the cloud transition. Complete the move to Azure, including the analytics platform on Microsoft Fabric, and retire legacy Windows-era infrastructure on a committed timeline. Industrialize our AI infrastructure. Take our new AI Agentic Platform from early adopter to production grade: multi-tenancy, compliance-ready pipelines, and the cloud-native foundation for the next generation of AI applications built across R&D. Automate the operation. Eliminate R&D-owned manual bottlenecks in provisioning, upgrades, and environment management. Get production support to a state where SLAs are met by design, and Tier 1 ownership can hand off cleanly to Unified Support.
• Scale extension migration. Drive the AI-powered migration of hundreds of customer extensions onto the modern platform, expanding the automated pipeline and closing the gaps it cannot yet handle. Run the platform as a product. Your customers are engineers, partners, and Tech Sales. Self-serve environments, a partner-facing API layer, and an emerging MCP surface are the roadmap. Treat internal adoption as the metric that matters. Shape the technical roadmap. Partner with the VP of R&D and our Senior Principal Architect on the 2027-2029 technology roadmap, and turn it into a sequenced plan the pillar delivers.

How you think about platform

We are looking for a leader whose operating instincts line up with how we build: Build it once at the platform. Identity, observability, security, compliance, CI/CD: certified once, consumed by every service. Incremental over big-bang. Every platform shift runs in production from week one. Evolution over revolution, with dates we commit to and hold. Automation over heroics. If the operation depends on someone's weekend, the platform isn’t done. Manual toil is a backlog item, not a culture. Self-serve over ticket queues. A platform that requires your team in the loop for every request is a bottleneck with good intentions. AI-native by default. Our operating language is augmentation to delegation. Engineers work with agents, the platform provides the rails that make that fast and safe. Quality discipline survives AI-generated code: specs precede implementation, contracts precede integration. Decisions are explicit. Make the trade-offs visible: cost, risk, time-to-value, what we’re giving up. Then commit.