20 publicaciones de empleo destacadas de data pipeline & platform engineer, observability & security en san mateo xalpa, dif (¡Están contratando!)

Senior Engineer – Observability Engineering
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Technical Support Engineer - Mexico City - Hybrid
Gigamon —Ciudad de México, CDMX
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- Informática
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Senior Machine Learning Engineer (Remote opportunity)
Hyatt Corporate Office —Ciudad de México, CDMX
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- Home Office (Desde casa)
- Informática
- Maestría
- Vacaciones adicionales o permisos con goce de sueldo
QA Engineer II, Mexico City (MX)
Swiss Re —Ciudad de México, CDMX
- Administración de personal
- Java
- JavaScript
Senior Platform Engineer
EarnIn —Ciudad de México, CDMX
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- Maestría
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Senior Systems Engineer
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Java
- Experiencia en bases de datos
Customer Integration Engineer (Contractor)
Hello Patient —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Azure
- Inglés
- Desarrollo de software
Postulación rápida
Site Reliability Engineer (SRE)
Kyndryl —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- DevOps
- Inglés
Data Engineer - Databricks
Zurich Insurance —Ciudad de México, CDMX
- Azure
- Informática
- DevOps
Senior Site Reliability Engineer
Mastercard —Ciudad de México, CDMX
- Tiempo completo
- Oracle
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Data Engineer
NielsenIQ —Ciudad de México, CDMX
- $35,000 a $46,000 por mes
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- Trabajo híbrido
- Azure
- Inglés
- SQL
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Machine Learning Platform Engineer
Salesforce —Ciudad de México, CDMX
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- Salesforce
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Application Engineer II, Mexico City (MX)
Swiss Re —Ciudad de México, CDMX
- Azure
- JavaScript
People Data & Insights Engineer
Takeda Pharmaceutical —Cuajimalpa, CDMX
- Tiempo completo
- Inglés
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Senior AI Application Engineer
Qualcomm —Ciudad de México, CDMX
- Doctorado
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Site Reliability Engineer
NielsenIQ —Ciudad de México, CDMX
- $35,000 a $40,000 por mes
- Tiempo completo
- Azure
- Administración de personal
- Informática
Postulación rápida

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Senior Engineer – Observability Engineering

Levi Strauss & Co. -
Centro (Área 1), CDMX

Postulación rápida

Información del empleo

Tiempo completo

Cualificaciones

ITIL Foundation
Azure
Informática
Kubernetes
Google Cloud Platform
Arquitectura empresarial
Maestría
Respuesta a incidentes
Docker
Licenciatura
Liderazgo

Descripción completa del empleo

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.

You will be part of the Observability Engineering Team within the Levi’s Shared Platform & Services Technology Organization—a group committed 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 improving reliability, 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 strong expertise in 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, and maintain end-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 AI driven 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 and GitOps workflows, enabling automated monitoring, alerting, and feedback loops throughout the software delivery pipeline.

Lead cross-functional collaboration with platform, Developer Velocity and application teams to establish scalable 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, managing and integrating the New Relic Solutions in GCP , Azure & AWS Cloud.

Experience in managing Observability Solutions like Datadog, 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, and DevSecOps practices 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.

Required: Bachelor’s degree in computer science or equivalent; master’s degree preferred.

LOCATION

Mexico, D.F., Mexico

FULL TIME/PART TIME

Full time

Current LS&Co Employees, apply via your Workday account.

Postulación rápida

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Quiero recibir la alerta de empleo más reciente para data pipeline & platform engineer, observability & security en san mateo xalpa, dif

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Current LS&Co Employees, apply via your Workday account.

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