Senior Lead Engineer, Retail Inventory
Levi Strauss & Co.Match Score
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Protocol Intelligence
Data-driven signals on your job's competitivenessStrong employer brand, metro location, generalist senior engineering title and broad full-stack/AI/RFID skillset increase candidate competition.
Role prefers retail/e-commerce and RFID experience, making cross-industry transfers less straightforward.
Multiple explicit years, technical lead requirement, cloud and AI integrations make shortlisting highly selective.
Job Description
Structured overview of role & requirementsAbout This Role
Lead architecture and development of RFID-driven AI-enabled inventory management systems for retail stores.
Design and implement scalable cloud-native microservices and applications on GCP focusing on real-time and predictive inventory insights.
Manage and mentor engineering teams, collaborate with Business, Product, and IT leaders to automate store processes and improve operational efficiency.
Minimum Requirements
10+ years professional experience including 5+ years full-stack development and 3+ years as technical lead.
Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related field.
Experience in retail or e-commerce domain with exposure to RFID technology preferred.
Proficiency with Java, Python, Node.js, GCP cloud deployment, and integrating AI/ML models or LLM APIs.
Ideal Candidate Profile
Experienced technical leader adept at designing AI/ML integrated, cloud-native retail solutions using RFID and agentic AI workflows.
Strong background in full-stack development and cloud infrastructure with operational experience in microservices and event-driven architecture.
Demonstrates capability to lead distributed, Agile teams and communicate complex AI-driven technical solutions to business stakeholders.