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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand and metro location present, but senior leadership level narrows candidate pool.
Requires deep platform and large-scale commerce engineering leadership, limiting cross-industry transferability.
Explicit 20+ years leadership, large-team and platform engineering requirements create strict screening filters.
Job Description
Structured overview of role & requirementsAbout This Role
Lead senior engineering leaders and architects to build and evolve Global Catalog capabilities across product data, content, seller enablement, and platform services.
Define and execute technology strategy and roadmap aligning with Walmart's business priorities, focusing on platform transformation, scalable self-service capabilities, reusable services, and AI-driven solutions.
Drive strategic initiatives, stakeholder alignment, and build a high-performing engineering organization responsible for highly scalable, reliable distributed systems within the Global Catalog ecosystem.
Minimum Requirements
20+ years of technology leadership experience including managing large engineering organizations (200+ engineers) and developing senior leaders and architects.
Deep expertise in building and scaling large-scale distributed systems emphasizing reliability, availability, performance, security, and operational excellence.
Bachelor's degree in Computer Science or related technical field, or 10+ years software engineering experience with 5 years supervisory experience.
Based in Bengaluru office; experience with platform, commerce, marketplace, or enterprise product organizations preferred.
Ideal Candidate Profile
Proven ability to define and execute long-term technology and platform strategies balancing strategic investments with near-term business objectives.
Experienced in leading platform and AI/ML-powered systems at scale with strong technology and architectural leadership.
Strong executive presence with ability to influence and align complex global cross-functional teams including Engineering, Product, Business, and Data Science.