Senior Lead Engineer, Retail Inventory
Levi Strauss & Co.Match Score
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Protocol Intelligence
Data-driven signals on your job's competitivenessMetro Bangalore role with broad full‑stack and AI requirements; seniority reduces but broad skills increase competition.
Core cloud, AI, and full‑stack skills are transferable, but RFID and retail domain preference raises sensitivity.
Explicit 10+ years, mandatory full‑stack and lead experience plus specific cloud, AI, and infra tech requirements.
Job Description
Structured overview of role & requirementsAbout This Role
Lead architecture and development of RFID and AI-driven inventory management and store automation systems.
Design and implement scalable, cloud-native microservices and applications on GCP, integrating AI/LLM technologies for predictive insights and autonomous operations.
Collaborate with business and product teams to drive technical strategy, stakeholder management, team leadership, and code/governance standards.
Minimum Requirements
10+ years professional experience, including 5+ years full-stack development and 3+ years technical leadership experience.
Bachelor's degree in Computer Science, Software Engineering, Information Technology, or closely related field.
Experience in retail or e-commerce domain with cross-functional team collaboration.
Preferred (not strict): RFID knowledge and GCP expertise, exposure to AI/ML and LLM integrations.
Ideal Candidate Profile
Senior technical leader with proven full-stack and cloud-native microservices development expertise, focusing on high-performance, resilient systems.
Strong domain experience in retail or e-commerce inventory and operational workflows, comfortable integrating AI/agentic automation.
Experienced in global agile environments, balancing multiple projects, stakeholder management, and mentoring engineering teams.