Principal Engineer, Shared Platforms & Services – AI Enablement

Levi Strauss & Co. is a company that values individuality and making a positive impact. The Principal Engineer for Shared Platforms & Services will be responsible for evolving the core technology foundation of the company's digital ecosystem, focusing on architecting and maturing platforms and services that enable engineering teams to deliver resilient and scalable systems.

Responsibilities:

• Lead the evolution of modern engineering toolchains and practices, including CI/CD, automated testing, code review, observability, and infrastructure automation. Integrate generative/agentic AI to improve developer productivity, incident response, and software quality
• Architect, develop, and mentor teams to build extensible, maintainable, and reusable platform components, frameworks, and shared services for an AI-powered future
• Define and champion platform standards for reliability, scalability, reusability, simplicity, security, and responsible AI and data-privacy practices
• Establish best practices for coding, integration, validation, and quality metrics, driving consistency and maintainability across teams
• Lead adoption of domain-driven design, event-driven architecture, distributed systems, and modular platform patterns
• Provide expert architectural guidance for complex engineering challenges, ensuring interoperable, domain-based, and scalable platform architecture
• Champion engineering excellence through agile leadership, DevSecOps practices, platform-as-a-product principles, and data-informed decision-making
• Stay ahead of platform, cloud, and AI/ML industry trends; lead experimentation and thoughtful adoption of emerging technologies
• Partner across Engineering, Security, Production Support, Product Management, UX, and Commercial teams to align platform capabilities with enterprise needs
• Influence stakeholders, drive platform adoption, and improve developer experience to accelerate product delivery
• Foster a product-led, customer-centric culture rooted in reliability, scalability, and intuitive platform capabilities
• Mentor and grow engineering talent, support hiring efforts, and cultivate expertise in platform engineering, AI, modern development practices and distributed systems
• Communicate complex technical concepts clearly across audiences-building excitement and alignment around platform modernization and AI enablement

Requirements:

• 12+ years of experience in product, software, and/or platform engineering roles, with a strong focus on platform architecture, cloud technologies (GCP, Azure), distributed systems, and modern engineering toolchains
• At least 4 years of experience focused on AI/ML, with deep expertise in generative and agentic AI and their application to modern engineering workflows
• Unwavering customer-focused ethos, placing internal developers, platform customers and end consumers at the core of all decisions
• Demonstrated success leading cross-functional engineering initiatives and working with geographically distributed teams across time zones
• Mastery of modern SDLC practices, agile methodologies, CI/CD, DevSecOps, observability, and the broader DevOps movement, with demonstrated improvements to delivery performance
• Demonstrable ability to drive architectural and operational decisions