Senior Observability Engineer AI-Driven Reliability

Jones Lang LaSalle Incorporated; Región Centro; On-site; MXN 1,200,000 - 2,000,000; Full time

Job summary

Jones Lang LaSalle Incorporated is seeking a Senior Observability Engineer to lead enterprise observability initiatives across our global technology estate, with a strong Datadog focus. You will architect AI-powered reliability, guide teams, and deliver measurable business outcomes in complex environments.

You will design dashboards, alerts, and automation, while driving best practices in monitoring, SRE, and incident response to reduce toil and improve service health.

Qualifications

• 5–8+ years in observability, monitoring or SRE with leadership.
• Deep Datadog experience in enterprise environments.
• Knowledge of metrics, logs, traces, SLOs and error budgets.

Responsibilities

• Lead design and implementation of enterprise observability solutions.
• Architect AI-powered reliability solutions across infra, apps and cloud.
• Develop dashboards, monitors and SLIs/SLOs for data-driven decisions.
• Collaborate across teams to standardize observability onboarding and automation.
• Mentor engineers and align technical work with business objectives.

Skills

Datadog

SRE

Observability

AI-powered engineering

Automation

Education

Bachelor's degree in Computer Science, IT, Engineering, or related field

Tools

Datadog

Rundeck

Ansible

PowerShell

Python

Job description

Jones Lang LaSalle Incorporated is seeking a Senior Observability Engineer to lead enterprise observability initiatives across our global technology estate, with a strong Datadog focus. You will architect AI-powered reliability, guide teams, and deliver measurable business outcomes in complex environments.

You will design dashboards, alerts, and automation, while driving best practices in monitoring, SRE, and incident response to reduce toil and improve service health.