Job Location: Mexico City, Mexico
Calling all originals: At Levi Strauss & Co., you can be yourself — and be part of something bigger.We’rea company of people who like to forge our own path and leave the world better than we found it. Whobelievethat what makes us different makes usstronger.Soadd your voice. Make an impact. Find your fit — and your future.
We'reseekinga curious and driven Site Reliability Engineerto join our Data & AI Platform Engineering team. In this role,you'llhelp keep our data and AI platforms running reliably, efficiently, and securely — platforms that power decisions across our global retail operations.
You'llwork alongside experienced SREs and engineers tomonitorproduction systems, respond to incidents, reduce operational toil, and build the automation that makes our infrastructure more resilient. This is an excellent opportunity to grow your SRE craft in a fast-paced, collaborative environment on Google Cloud Platform, with exposure to multi-cloud technologies and modern data engineering.
About the Job
Reliability & Incident Response
Monitor production systems using observability tooling— dashboards, alerts, and logs — to detect and triage issues before theyimpactend users
Participate in on-call rotations, respond to incidents following established runbooks, and escalate appropriately when needed
Contribute to blameless post-mortems, documenting rootcausesand follow-up action items to prevent recurrence
Helpmaintainand improve SLO dashboards and alerting thresholdsto ensure platform health is visible and measurable
Toil Reduction & Automation
Identifyrepetitive manual tasks and build automation toeliminatethem, reducing toil for yourself and the broader team
Write andmaintainscripts, tooling, and CI/CD pipeline componentsthat improve deployment reliability and operational efficiency
Support self-serve infrastructure initiativesthat allow engineering teams to safely provision and manage their own resources
Platform Operations & Cloud Infrastructure
Operate andmaintainworkloads running on GCP— including GKE, Cloud Run,BigQuery, Pub/Sub, GCS, and Composer
Apply Infrastructure-as-Codepractices (Terraform, Helm) to consistently and safely manage and version infrastructure changes
Support multi-cloud awarenessacross GCP and Azure, following team standards for consistency and security across environments
Adhere to data security and governancepolicies — IAM best practices, secrets management, encryption, and audit logging
Collaboration & Growth
Work closely with Data Engineering, AI Platform, and Software Engineering teams to ensure reliability is considered from design through deployment
Participate in reliability reviews, design discussions, and team ceremonies, contributing ideas and raising operational concerns early
Engage with AI and agentic platform workloads, gaining exposure to the operational patterns of LLM-based systems and data pipelines
Continuously develop your technical skills and SRE craft, supported by team knowledge-sharing, documentation, and hands-on experience
About You
Required Qualifications
Bachelor's degreein Computer Science , Engineering, or related field (or equivalent practical experience)
6+ years of experiencein Site Reliability Engineering, DevOps, or Platform/Infrastructure Engineering in production environments
Hands-on experience with GCP services— particularly GKE, Cloud Run, BigQuery, Pub/Sub, and GCS
Workingproficiencywith Infrastructure-as-Codetools such as Terraform or Helm
Familiarity with observability tooling— metrics, logging, tracing, and alerting (e.g., Cloud Monitoring, Datadog, or Prometheus/Grafana)
Understanding of SLO/SLI conceptsand how they relate to production reliability and on-call operations
Exposure to data security fundamentals IAM, encryption, secrets management, and network policies
Proficiencyin at least one scripting or systems language (Python, Bash, or Go) for automation and operational tooling
Strong communicationskills with the ability to clearly document incidents, runbooks, and technical processes
Technical Familiarity
Experience with container orchestration— Kubernetes or GKE — and the operational patterns around deploying and managing containerized workloads
Basic understanding of CI/CD pipelinesandGitOpsworkflows (ArgoCD, GitHub Actions, or similar)
Comfort working with data platforms— familiarity with batch or streaming data pipelines is a plus
Awareness of multi-cloud concepts, particularly across GCP and Azure
Desirable Experience
Experience working in retail, e-commerce, or consumer goodsenvironments
Familiarity with Google's SRE principles— error budgets, toil tracking, and production readiness reviews
Exposure to AI or ML platform operations, including monitoring model serving infrastructure
Experience with FinOpsor cloud cost visibility tooling
Why Join Us?
Ifyou'rean engineer who is passionate about reliability, loves solving operational problems, and wants to grow your SRE craft at a global iconic brand, we'dlove to hear from you
Mexico, D.F., Mexico
Full time
You’re an original. So are we.
We’re a company of people who like to forge our own path. We invented the blue jean in 1873, and we reinvented khaki pants in 1986. We pioneered labor and environmental guidelines in manufacturing. And we work to build sustainability into everything we do.
We just might be the original startup. Our brands — Levi’s®, Beyond Yoga® and Levi Strauss Signature — stand for freedom and self-expression around the world. And for more than 170 years, we’ve used the strength of our brands to lead with our values and make an outsized impact on the world.
There’s plenty of room to make your mark here. We employ more than 15,000 people around the world, and this is a place where everyone contributes to the conversation.
Levi Strauss & Co. is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, protected veteran status or any other characteristic protected by law.
