Overview

Founded in 1998 at Vancouver, lululemon is a performance and lifestyle product company that create transformational products and experiences that build meaningful connections, unlocking greater possibility and wellbeing for all.

Responsibilities

• Architect, build, and manage scalable, secure, and highly available cloud infrastructure on AWS.
• Implement Infrastructure as Code (Terraform, CloudFormation) and reusable platform components.
• Drive cloud modernization, platform engineering, resiliency, and cost optimization initiatives.
• Establish standards and best practices for cloud operations, governance, and platform reliability.
• Design, implement, and optimize CI/CD pipelines using GitLab CI, Jenkins, GitHub Actions, or similar tools.
• Enable fast, reliable, and repeatable application deployments across environments.
• Drive adoption of GitOps practices using ArgoCD and modern deployment strategies such as Blue/Green and Canary releases.
• Continuously improve deployment speed, quality, and release stability.
• Build, deploy, and manage containerized workloads using Docker and Kubernetes (EKS preferred).
• Manage platform components including Helm charts, ingress controllers, autoscaling, and workload security.
• Support lifecycle management, upgrades, and operational excellence of container platforms.
• Eliminate manual processes through automation and infrastructure tooling.
• Develop scripts and frameworks using Python, Bash, or PowerShell.
• Build self-service capabilities that enhance developer productivity and reduce operational overhead.
• Implement observability solutions using Datadog, Prometheus, Grafana, Splunk, CloudWatch, or similar platforms.
• Define and manage SLIs, SLOs, and SLAs to improve service reliability.
• Establish proactive monitoring, alerting, dashboarding, and operational insights.
• Drive improvements in application performance, availability, and operational maturity.
• Lead troubleshooting and resolution of complex production incidents.
• Participate in incident response, root cause analysis, and post-incident reviews.
• Develop long-term remediation plans to eliminate recurring issues.
• Create runbooks and automation playbooks to reduce operational toil and improve support efficiency.
• Integrate security controls and compliance checks into CI/CD pipelines and cloud infrastructure.
• Manage IAM, secrets, certificates, and key rotation processes following least-privilege principles.
• Implement automated vulnerability scanning and remediation practices.
• Ensure adherence to enterprise security, governance, and compliance standards.
• Provide technical leadership for cloud, DevOps, platform engineering, and SRE initiatives.
• Partner with Engineering, QA, Product, Security, and Platform teams to deliver scalable solutions.
• Mentor engineers and drive adoption of enterprise-wide DevOps best practices.
• Evaluate emerging technologies, including AI-powered automation and operational tools.

Qualifications

• 5-9 years of experience in Cloud Engineering, DevOps, Platform Engineering, or SRE.
• Strong hands-on experience with AWS services (EKS, EC2, Lambda, S3, IAM, CloudWatch, API Gateway, Route53).
• Proven expertise in CI/CD platforms such as GitLab CI, Jenkins, or GitHub Actions.
• Experience with GitOps practices and tools such as ArgoCD. – Good to have
• Strong Infrastructure as Code (Terraform preferred, CloudFormation or equivalent). - Mandatory
• Hands-on experience with Docker, Kubernetes (EKS) or Helm. Mandatory
• Strong scripting and automation skills using Python, Bash, or PowerShell.
• Experience designing and operating highly available, scalable distributed systems.
• Solid understanding of cloud security, IAM, secrets management, and DevSecOps practices.
• Experience with observability tools such as Datadog, Prometheus, Grafana, Splunk, or CloudWatch.
• Knowledge of SRE principles including SLIs, SLOs, incident management, and reliability engineering.
• Interest in leveraging AI-driven solutions for automation, observability, and operational excellence.
• AWS Solutions Architect, AWS DevOps Engineer, CKA, or CKS certifications.
• Experience with Kafka, SNS, SQS, or EventBridge.
• Familiarity with API gateways (Kong, Apigee) and CDN platforms (Akamai, CloudFront).
• Experience with Platform Engineering, Internal Developer Platforms (IDP), and self-service infrastructure.
• Exposure to cloud cost optimization practices.
• Experience in retail, eCommerce, RFID, inventory management, or omnichannel platforms.
• Curiosity for emerging technologies including AI/ML and AIOps.