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Senior Cybersecurity Engineer - Data & AI Security

Job in Seattle, King County, Washington, 98127, USA
Listing for: lululemon
Full Time position
Listed on 2026-07-19
Job specializations:
  • IT/Tech
    Cybersecurity
  • Security
    Cybersecurity
Salary/Wage Range or Industry Benchmark: 147300 - 193300 USD Yearly USD 147300.00 193300.00 YEAR
Job Description & How to Apply Below
Position: lululemon Senior Cybersecurity Engineer - Data & AI Security

Description & Requirements

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 Data & AI Security team is responsible for protecting the organization’s most critical data and AI assets while enabling responsible, scalable innovation. We build and operate Data Security Posture Management (DSPM) and AI Security Posture Management (AISPM) capabilities across a complex, global ecosystem. Our work is highly cross‑functional, partnering with Data & Analytics, Engineering, Legal, Privacy, and GRC teams to embed security by design while keeping the organization fast, compliant, and resilient.

Our focus is on visibility, prevention, and remediation at scale, balancing strong security controls with minimum business friction.

Responsibilities

As a Senior Cybersecurity Engineer, you will lead complex security engineering initiatives, designing and implementing security controls, platforms, and solutions that protect critical systems  will build and operate enterprise security capabilities such as centralized authentication, security enforcement mechanisms, and security automation, while applying secure coding practices and rigorous testing and validation. You will partner closely with engineering teams to embed security into system design and delivery, drive improvements to security quality and reliability, and mentor junior engineers through hands‑on technical leadership and knowledge sharing.

  • Build enterprise security systems implementing centralized authentication, security platforms, and organization‑wide controls
  • Lead comprehensive threat modelling and security assessments for complex systems, evaluating attacker behaviour across integrations and influencing secure design decisions early in the development lifecycle
  • Own end‑to‑end response for complex security incidents, driving deep root cause analysis and delivering coordinated long‑term improvements to detection, prevention, and security monitoring capabilities
  • Develop advanced security code, tools, and libraries including security automation platforms, scanners and detectors, security testing systems, and security SDKs
  • Establish security code standards defining secure coding practices, code review requirements, and implementation quality
Qualifications
  • Bachelor’s degree in Computer Science, Cybersecurity, or related field; security certification strongly preferred
  • 6‑10 years of experience leading security engineering initiatives, establishing security standards and practices, and building security systems at scale, or equivalent
  • Hands‑on experience securing data used by AI systems, including data discovery, classification, access governance, and usage monitoring across cloud data platforms, feature stores, and AI pipelines
  • Experience securing AI and analytics workloads in modern cloud environments, including identity and access controls, service‑to‑service authentication, secrets management, and policy enforcement across platforms supporting AI/ML development and inference (e.g., cloud data platforms, ML platforms, containerized services)
  • Proven experience implementing enterprise security controls and building security infrastructure including centralized authentication, authorization services, and security policy enforcement systems at scale
  • Track record of writing complex security systems including security platforms and SDKs; experience establishing security code review practices, security checklists, and security development frameworks
  • Demonstrated ability to lead advanced threat modelling for complex systems, anticipating sophisticated…
Position Requirements
10+ Years work experience
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