Software Engineer - Devops [T500-30289]

Who we are:

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. We are driven by our brand purpose to elevate human potential by making individuals feel their best which helps us design our products with high filter and high style. We use a unique product creation methodology called Science of Feel in all our products to offer convenient, comfortable, and long-lasting experience. We owe our success to our innovative products, commitment to our people, and the incredible connections we make in every community we’re in.

Software Engineer – DevOps

Role Summary:

We are seeking a Cloud & DevOps Engineer to build and operate secure, scalable, and highly available cloud platforms. The ideal candidate will bring strong expertise in AWS, Kubernetes, CI/CD, Infrastructure as Code, DevSecOps, and SRE practices to accelerate delivery, improve reliability, and enhance developer productivity through automation and platform engineering.

Key Responsibilities:

Cloud Infrastructure & Platform Engineering:

• 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.

CI/CD & GitOps:

• 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.

Kubernetes & Container Platform Operations:

• 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.

Automation & Developer Productivity:

• 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.

Monitoring, Observability & Reliability Engineering:

• 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.

Production Support & Incident Management:

• 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.

Security, Compliance & DevSecOps:

• 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.

Cross-Functional Collaboration:

• 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.

Required 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 …