Platform Engineer: AI & Enterprise Apps Automation

Lululemon Athletica

Vancouver

Hybrid

CAD 112,000 - 147,000

Full time

12 hours ago
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Benefits offered by this job

Extended health and dental benefits
PTO and vacation time
Retirement plan matching
Parenthood top-up
Career development programs

Job summary

lululemon Athletica is seeking a Platform Engineer to design and build internal developer platforms and core infrastructure. You will engineer Kubernetes platforms, create self-service capabilities, and implement observability across pipelines and deployments.

You will mentor junior engineers and collaborate with cross-functional teams to advance platform automation and enterprise AI initiatives. This hybrid role requires in-person collaboration at the Vancouver area site and adherence to

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or related field or equivalent experience.
  • 4–8 years of experience designing platform solutions and scalable distributed systems.
  • Experience with self-service platforms and developer-focused interfaces.
  • Experience engineering Kubernetes platforms for production workloads.
  • Proven ability to design cloud infrastructure abstractions for app teams.

Responsibilities

  • Design and build internal developer platforms and core infrastructure.
  • Engineer Kubernetes platforms, cluster architecture, and service mesh.
  • Build CI/CD tooling and delivery pipelines to standardize workflows.
  • Create self-service platforms, APIs, and templates for rapid provisioning.
  • Develop observability platforms and monitoring dashboards; manage incidents.

Skills

Kubernetes platforms
CI/CD tooling
Observability
Infrastructure as code
Platform automation
Self-service platforms
Security controls

Education

Bachelor's degree in CS/Engineering

Tools

Copilot Studio
Azure AD
HashiCorp Vault
Azure Key Vault

Job description

lululemon Athletica is seeking a Platform Engineer to design and build internal developer platforms and core infrastructure. You will engineer Kubernetes platforms, create self-service capabilities, and implement observability across pipelines and deployments.

You will mentor junior engineers and collaborate with cross-functional teams to advance platform automation and enterprise AI initiatives. This hybrid role requires in-person collaboration at the Vancouver area site and adherence to

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