Long applicationsign-up on Workday

Manager, Systems Reliability Engineering (MGMT)

Levi Strauss & Co. • Apparel & Fashion Brands • Bachelor's Degree • Master Data Management • 5 days ago

Smart Apply

Similar jobs

1,956,737open jobs

115,515companies

239,037added this week

Browse all

Salary

≈ $36k – $81k per year (Estimated)

Location

In office (Mexico)

Seniority

Senior · 7+ years exp

Employment

Full-Time

Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Oct 19, 2026. Levi Strauss & Co. scores B on the Alion truth index.

Overview

Company

Impact

Profile match

Levi Strauss & Co.

Levi Strauss & Co. is an American apparel company headquartered in San Francisco, California, that designs and sells denim and casual clothing under brands including Levi's and Beyond Yoga through its own stores, e-commerce and wholesale partners worldwide. Founded in 1853 as a dry goods wholesaler by Levi Strauss, the company introduced the riveted blue jean in 1873, is listed on the New York Stock Exchange and operates retail stores and outlets across the Americas, Europe and Asia. Its board lists store supervisors, managers and sales stylists in the US and Europe, alongside corporate roles in engineering, SAP and AI, licensing, legal operations and wholesale account management.

levistrauss.com • HQ: San Francisco, United States • Apparel & Fashion Brands • 5000+ employees • Est. 1853

Tech stack of Levi Strauss & Co.

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.

Introduction

As a Manager, Systems Reliability Engineering (MGMT), you will lead the LATAM Product Creation and Master Data operations team supporting FlexPLM, DaVinci, Infor Nexus, MDM services, and related integrations. This role, based in GCC Mexico, reports directly to the SRE Manager, IT Enterprise Application Operations. You will own regional people management and service delivery, partnering with the India manager and global teams on reliability, data integrity, consistent ways of working, and Agentic AI adoption.

About the Job

Lead and develop an engineering team through hiring, onboarding, coaching, goal setting, performance reviews, career development, and succession planning.
Own regional service delivery, support coverage, capacity and workload planning within the global operating model; coordinate handovers and escalation with the India manager.
Manage service-level objectives, queue aging, data-flow health and operational risks; prioritize improvements using business impact, reliability measures and recurring incident trends.
Lead major incident coordination, stakeholder communications, problem management and corrective actions; govern release readiness, change approvals and recovery planning.
Establish consistent ways of working through clear ownership, documented runbooks, knowledge transfer, evidence-based handovers and blameless post-incident reviews.
Lead adoption of approved Agentic AI for triage, investigation, knowledge capture and operational workflows; define human approval boundaries, data protection, auditability and measurable outcomes.

About You

7+ years of experience in IT production support, application operations, platform engineering or Site Reliability Engineering, including demonstrated people-management experience.
Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
Experience supporting PLM, MDM, enterprise data, integration platforms or comparable business-critical applications; ability to develop application-specific knowledge across the portfolio.
Strong understanding of APIs, middleware, queues, batch processing, file feeds, data controls, service dependencies and cross-region operations.
Experience with ITSM, incident, problem and change management, team development and stakeholder communication; practical experience leading automation and responsible Agentic AI adoption.