Job Location: Latin America

Calling all originals: At Levi Strauss & Co., you can be yourself — and be part of something bigger. We’re a company of people who like to forge our own path and leave the world better than we found it. Who believe that what makes us different makes us stronger. So add your voice. Make an impact. Find your fit — and your future. 

SRE Operations Manager; Product Creation and Master Data (Latin America) is a leadership role in our Global Talent Hub responsible for establishing Value Stream Observability, build and accelerate Chatbots to speed issue resolution, continuously seek opportunities to drive reliability through improvements in products and platforms, AI agents, and automation. This role ensures impact of product/platform incidents are managed end-to-end to complete resolution. The manager will report to the Director Operations, Brand Ops, Supply Chain and serve as their squads’ technology and observability leader and be key liaison to our engineering squads (acting as the “eyes and ears on the ground” for global engineering leadership).

The mission is to drive an “Automation and AI-first” transformation in how our teams provide platform support to the applications within the value stream.

About the Job 

This role is expected to evolve as our AI maturity grows. In its first phase, a heavy focus will be on jump-starting and implementing Observability, Chatbots, and AI usage by demonstrating quick wins (hence the PoCs and pilots).

• Design, implement, and maintain observability frameworks (monitoring, logging, tracing) across the value stream.

• Lead incident response, root cause analysis, and postmortem processes to continuously improve reliability.

• Automate infrastructure and operational workflows.

• Integrate AI/ML-driven observability tools for predictive monitoring and anomaly detection.

• Partner with product, supply chain, and brand teams to align reliability practices with strategic goals.

• Advance ITSM maturity by strengthening incident, problem, and change management processes.

• Champion “You Build It, You Run It” principles, fostering ownership and accountability across engineering teams.

• Mentor and coach engineers on best practices in observability, reliability, and automation.

About You 

• Bachelor’s degree in Computer Science, Engineering, or related field.

• 5+ years of experience in software engineering or technology roles, with at least 3–5 years in leadership positions.

• Significant exposure to AI/ML or data-driven automation projects in an operations context is required.

Knowledge, Skills, & Abilities:

• Proven experience as an SRE, DevOps Engineer, or Reliability Engineer in complex, distributed systems.

• Strong expertise with observability tools.

• Familiarity with AI/ML-driven monitoring solutions is a plus.

• Solid understanding of ITSM frameworks and operational maturity models.

• Excellent communication skills—able to translate technical reliability metrics into business impact.

• Calm, structured leadership during incidents and crises.

• A strategic thinker who connects reliability engineering to business outcomes.

• A continuous improvement mindset, relentlessly seeking optimization and measurable impact.

• A collaborative leader who thrives in cross-functional environments.

• Curiosity and adaptability in evolving technology landscapes, with a passion for innovation.