Site Reliability Engineer
Confirmed on the employer's own hiring board on Sep 29, 2026. First seen by Alion on Sep 21, 2026.
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 drivenSite Reliability Engineer to 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 usingobservability tooling - dashboards, alerts, and logs - to detect and triage issues before theyimpactend users
Participate inon-call rotations, respond to incidents following established runbooks, and escalate appropriately when needed
Contribute toblameless post-mortems, documenting rootcausesand follow-up action items to prevent recurrence
Helpmaintainand improveSLO dashboards and alerting thresholds to ensure platform health is visible and measurable
Toil Reduction & Automation
Identifyrepetitive manual tasks and buildautomation toeliminatethem, reducing toil for yourself and the broader team
Write andmaintainscripts, tooling, andCI/CD pipeline components that improve deployment reliability and operational efficiency
Supportself-serve infrastructure initiatives that allow engineering teams to safely provision and manage their own resources
Platform Operations & Cloud Infrastructure
Operate andmaintainworkloads running onGCP - including GKE, Cloud Run,BigQuery, Pub/Sub, GCS, and Composer
Apply Infrastructure-as-Code practices (Terraform, Helm) to consistently and safely manage and version infrastructure changes
Supportmulti-cloud awareness across GCP and Azure, following team standards for consistency and security across environments
Adhere todata security and governance policies - 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 inreliability reviews, design discussions, and team ceremonies, contributing ideas and raising operational concerns early
Engage withAI 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 degree in Computer Science, Engineering, or related field (or equivalent practical experience)
6+ years of experience in 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
WorkingproficiencywithInfrastructure-as-Code tools such as Terraform or Helm
Familiarity with observability tooling - metrics, logging, tracing, and alerting (e.g., Cloud Monitoring, Datadog, or Prometheus/Grafana)
Understanding ofSLO/SLI concepts and 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 withcontainer orchestration - Kubernetes or GKE - and the operational patterns around deploying and managing containerized workloads
Basic understanding of CI/CD pipelines andGitOpsworkflows (ArgoCD, GitHub Actions, or similar)
Comfort working withdata platforms - familiarity with batch or streaming data pipelines is a plus
Awareness ofmulti-cloud concepts, particularly across GCP and Azure
Desirable Experience
Experience working inretail, e-commerce, or consumer goods environments
Familiarity withGoogle's SRE principles - error budgets, toil tracking, and production readiness reviews
Exposure toAI or ML platform operations, including monitoring model serving infrastructure
Experience withFinOps or 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.