lululemon is an innovative performance apparel company for yoga, running, training, and other athletic pursuits. Setting the bar in technical fabrics and functional design, we create transformational products and experiences that support people in moving, growing, connecting, and being well. We owe our success to our innovative product, emphasis on stores, commitment to our people, and the incredible connections we make in every community we're in.

The Enterprise

Automation team identifies and delivers organizational and persona-based opportunities to improve productivity, efficiency, and employee experience through automation, agentic automation, and AI. We partner with business and technology teams across lululemon to design, build, and scale intelligent solutions using various agentic automation and emerging AI technologies, while establishing the governance, standards, and platforms that enable automation and AI to be adopted securely, responsibly, and at enterprise scale. As a Platform Engineer, you will design and build internal developer platforms and core infrastructure independently that enable engineering velocity and operational excellence.

You will engineer Kubernetes platforms and container orchestration solutions, build CI/CD tooling and delivery pipelines, and create self-service capabilities that allow application teams to provision infrastructure and deploy services safely and efficiently. You will build and deploy observability platforms including logging systems, metrics collection, distributed tracing, and monitoring dashboards, conduct infrastructure validation and disaster recovery testing, and respond to platform incidents. You will collaborate with application engineering teams to understand requirements,



make platform design decisions within established architecture, and mentor junior engineers on platform engineering practices.

Engineer

Kubernetes platforms and container orchestration solutions including cluster architecture, pod networking, and service mesh Build and maintain CI/CD and delivery tooling to standardize build, test, release workflows and engineering artifact management Build and deploy observability platforms including logging infrastructure, metrics pipelines, distributed tracing systems, alerting platforms, and monitoring dashboards Bachelor's degree in Computer Science, Engineering, or related technical field, or equivalent experience ~4-8 years of experience designing platform solutions, implementing infrastructure as code, and building scalable distributed systems, or equivalent ~ Experience engineering Kubernetes platforms and container orchestration solutions for production workloads; familiarity with designing platform interfaces focused on developer usability and productivity ~ Own the lifecycle, administration, and operational support of enterprise AI and agentic automation platforms, including Copilot Studio, Microsoft 365 Copilot, , ChatGPT Enterprise, Claude, and other emerging AI technologies ~ Design and manage secure platform access controls, including RBAC, Microsoft Entra ID/Azure AD groups, user provisioning, license assignment, entitlement management,



and automated onboarding/offboarding processes. ~ Build and maintain cloud infrastructure supporting AI and automation solutions, including virtual machines, platform environments, networking, deployment pipelines, workplace management, and infrastructure automation across development, test, and production environments. ~ Implement and support enterprise security and secrets management capabilities, including HashiCorp Vault, Azure Key Vault, certificate management, credential rotation, secure integrations, and compliance with organizational security standards Acknowledge the presence of choice in every moment and take personal responsibility for your life. Foster connection by putting people first and building trusting relationships. lululemon's compensation offerings are grounded in a pay-for-performance philosophy that recognizes exceptional individual and teamperformance. the base pay offered is based on market location and may vary depending on job-related knowledge, skills, experience, and internal equity. As part of our total rewards offering, permanent employees in this position may be eligible for our competitive annual bonus program, subject to program eligibility requirements.

Recognizing our teams for their performance and dedication, other components of our total rewards offerings include support of career development, wellbeing, and personal growth: Extended health and dental benefits, and mental health plans Savings and retirement plan matching People networks, mentorship programs, and leadership series (to name a few) The Company reserves the right to alter these incentive programs, benefits, and perks in whole or in part at any time without advance notice.

📌 lululemon Platform Engineer - Enterprise Applications & AI (Vancouver)
🏢 Lululemon
📍 Vancouver