lululemon Platform Engineer - Enterprise Applications & AI
$112.2k - $147.2k per yearlululemon
Description & Requirements who we are 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. As a company, we focus on creating positive change to build a healthier, thriving future. In particular, that includes creating an equitable, inclusive and growth-focused environment for our people. about this team 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. core responsibilities 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. select responsibilities include:
- 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
- Create self-service platforms including APIs, templates, and portals that allow application teams to provision infrastructure quickly and safely
- Build and deploy observability platforms including logging infrastructure, metrics pipelines, distributed tracing systems, alerting platforms, and monitoring dashboards
- Lead incident response for platform issues including root cause analysis, mitigation, and implementing preventive measures
- 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
- Proven experience designing and implementing complex platform solutions with self-service capabilities; track record of leading design discussions on platform automation approaches presenting trade-offs
- Experience engineering Kubernetes platforms and container orchestration solutions for production workloads; demonstrated ability to design cloud infrastructure abstractions enabling application teams to deploy without deep infrastructure knowledge
- Experience creating self-service platforms including APIs, templates, and portals allowing teams to provision and deploy safely; 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, environment 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.
- Possess an entrepreneurial spirit and continuously innovate to achieve great results.
- Communicate with honesty and kindness and create the space for others to do the same.
- Lead with courage, knowing the possibility of greatness is bigger than the fear of failure.
- Foster connection by putting people first and building trusting relationships.
- Integrate fun and joy as a way of being and working, aka doesn't take yourself too seriously.
- Extended health and dental benefits, and mental health plans
- Paid time off
- Savings and retirement plan matching
- Generous employee discount
- Fitness & yoga classes
- Parenthood top-up
- Extensive catalog of development course offerings
- People networks, mentorship programs, and leadership series (to name a few)
Vacancy posted 13 hours ago
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