Senior Engineer – Observability Engineering

Levi Strauss & Co. · Mexico · posted today ago

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About this role

Job Location: Latin America

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.

You will be part of the Observability Engineering Team within the Levi’s Shared Platform & Services Technology Organization—a groupcommitted to delivering end-to-end visibility, actionable insights, and operational excellence across our digital ecosystem. The team’s mission is to empower engineering squads with the data, dashboards, and analytics they need to detect, diagnose, and resolve issues faster—ultimately improvingreliability, performance, and customer experience.

This role offers a unique opportunity for individuals who are passionate about Observability, Site Reliability, and Data-Driven Engineering to shape how Levi’s measures and manages its digital systems. You will play a key role in adoption of AI within our Observability capabilities and advancing Levi’s Observability Strategy—driving proactive monitoring, intelligent alerting, and continuous improvement across our platforms and services.

This role demands strongexpertisein applying AI-powered observability and AIOps solutions to enable proactive monitoring, intelligent alerting, automated incident analysis, and self-healing capabilities, driving faster issue resolution and improved engineering efficiency.

As a member of the Observability Engineering Team, you will join a growing community focused on building a culture of visibility, accountability, and performance excellence, enabling Levi’s engineering squads to move with confidence and speed in our ongoing digital transformation journey.

About the Job

Design, build, andmaintainend-to-end observability solutions covering metrics, logs, traces, synthetic monitoring, real user monitoring (RUM), and business telemetry using New Relic and modern cloud-native monitoring services.

Develop and implement instrumentation of Observability standards for microservices, APIs, front-end, and legacy systems, ensuring consistent visibility across hybrid-cloud environments.

Leverage AIdriven observability capabilities within New Relic and modern AIOps platforms to enable intelligent anomaly detection, predictive alerting, automated root cause analysis, noise reduction, and self-healing workflows, improving incident response efficiency and accelerating developer productivity.

Integrate observability into CI/CD andGitOpsworkflows, enabling automated monitoring, alerting, and feedback loops throughout the software delivery pipeline.

Lead cross-functional collaboration with platform, DeveloperVelocityand application teams toestablishscalable monitoring architectures and operational excellence practices.

Evaluate, select, and implement next-generation observability tools and frameworks aligned with enterprise architecture, security, and scalability goals.

Mentor and guide engineering teams on observability best practices, fostering a data-driven, performance-oriented culture across the technology organization.

Establish and advance observability governance and maturity models, ensuring compliance with SLAs.

Partner with technology and business leadership to translate observability insights into actionable improvements driving product quality, developer velocity, and operational efficiency.

About You

7+ years of total IT industry experience with a strong focus on Observability and monitoring solutions.

5+ years of solid hands-on experience in administrating,managingand integrating theNew Relic SolutionsinGCP ,Azure & AWS Cloud.

Experience in managing Observability Solutions likeDatadog ,Dynatrace ,Grafana ,Prometheus etc.

Deep understanding of the “Four pillars” of Observability—Metrics, Events, Logs, and Traces—and how they interconnect to drive reliability and performance insights.

Strong background in distributed systems, microservices, and containerized applications (Kubernetes, EKS, Docker, service mesh architectures).

Knowledge of automation, CI/CD, andDevSecOpspractices in integrating observability into modern delivery pipelines.

Excellent communication, collaboration & leadership skills with the ability to translate business observability needs into technical solutions

Strong troubleshooting, analytical and problem-solving abilities.

Understanding of SDLC, Agile Practices & ITIL Frameworks.

Technical Certifications highly preferred: New Relic Certified Reliability Engineer, New Relic verified Foundation, New Relic Certified Performance Engineer.