Muhammad Umer Tahir
Senior Software Engineer (Product Full Stack) @lululemon
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WORK HISTORY
Senior Software Engineer (Product Full Stack) @lululemon
Vancouver, BC, CA
Senior software engineer on the Loyalty team, owning the end-to-end engineering of Lululemon’s membership tiering and benefits platform. The system powers customer experiences across tiers (e.g, Bronze, Silver, Gold), dynamically unlocking benefits based on customer behavior and spend.Worked across frontend and backend boundaries to shape APIs, data contracts, and rollout strategies, while leading the implementation of scalable, CMS-driven experiences using Contentful. This enabled non-technical teams to manage tier content and benefits without engineering involvement.Played a key role in translating ambiguous product requirements into production-ready systems, balancing experimentation, performance, and long-term maintainability in a high-traffic, customer-facing environment.Contributed to architectural decision-making and mentoring engineers, helping raise the quality and consistency of the loyalty platform.
EDUCATION
National University of Computer and Emerging Sciences
Bachelor’s Degree, Computer Science
SKILLS
ABOUT MUHAMMAD UMER TAHIR
I’m a senior/staff-level software engineer with 12+ years of experience building and scaling product systems at AWS, lululemon, and Upwork. I work at the intersection of engineering, product thinking, and applied AI—turning ambiguous problems into scalable software.At AWS, I led high-impact identity initiatives including large-scale authentication migrations, performance optimization of critical sign-in surfaces used by millions, and cross-team efforts to unify identity consoles into a capability-based experience. This work required deep system design, stakeholder alignment, and mentoring engineers through ambiguous delivery.At lululemon, I work on the Loyalty platform powering membership tiering and benefits—shipping CMS-driven experiences and shaping data contracts and APIs to enable scalable experimentation and fast iteration.Alongside full-time roles, I’ve built and advised on AI-enabled products through NimbusEdge, including CareerSage (AI infrastructure for workforce enablement) and Woddy (AI career coaching). I’m most interested in product problems where AI, UX, and system architecture come together to create real user outcomes.
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