MetLife

Somos expertos y reconocidos a nivel mundial como líderes en seguros. Tenemos más de 150 años de experiencia entregando lo mejor en seguros de vida, rentas vitalicias y programas de beneficios a más de 90 millones de clientes, en 50 países del mundo. En México, somos la aseguradora # 1 de personas en el país, con más de 10 millones de asegurados.

The Opportunity

The Observability Engineering position is responsible for leading the strategy, execution, and maturity of enterprise observability, ensuring secure, scalable, and resilient operations across infrastructure and cloud environments in Mexico. This is an exciting opportunity to drive AI‑powered monitoring, automated remediation, and “build‑to‑observe” principles that improve proactive detection and accelerate root‑cause analysis. Success in this role requires strong analytical thinking and expertise in cloud‑native observability tools. The Observability Engineering role is responsible for enabling enterprise‑grade telemetry and advancing AI Ops capabilities. You’ll collaborate closely with global teams, SRE, Architecture Infrastructure, DevOps, and business stakeholders in an inclusive and highly technical environment.

How You’ll Help Us Build a Confident Future (Key Responsibilities)

• Lead multi‑platform observability operations across Elastic, Azure Monitor, Splunk, and OTEL. 
• Create dashboards, alerts, enrichment pipelines, and automated remediation patterns. 
• Oversee ingestion health, lifecycle policies, and telemetry quality standards. 
• Manage incident analysis, monitoring deltas, and cross‑platform troubleshooting. 
• Develop anomaly detection, predictive analytics, and AIOps use cases. 
• Coordinate with global design/engineering teams and local IT partners to ensure alignment and adoption.

What You Need to Succeed (Required Qualifications)

• Bachelor’s degree in Computer Science or related fields, enabling strong technical foundations. 
• Expertise in Elastic, Azure Monitor, Azure Log Analytics to design telemetry pipelines and analytics. 
• Experience with Splunk, OTEL, and AI‑driven analytics for automation and correlation. 
• Strong communication and cross‑team collaboration skills. 
• Strategic thinking and the ability to thrive in high‑pressure environments.

What Can Give You an Edge (Additional Skills)

• 5+ years of experience in infrastructure engineering with an observability and cloud focus. 
• Advanced use of Elastic ML, Splunk ITSI, and Azure analytics for automation and AIOps. 
• Strong problem‑solving and stakeholder‑management capabilities. 
• Ability to lead diverse, global, and offshore teams.

En MetLife tenemos el compromiso de fomentar la diversidad entre colaboradores y colaboradoras, a través de un trato no discriminatorio por motivos de raza, expresión / identidad de género, orientación sexual, religión, edad, nacionalidad, estado civil, discapacidades, condición física o económica, no se hacen pruebas de VIH y embarazo como requisito para ingreso, permanencia o ascenso y existe igualdad de oportunidades laborales.