Senior Observability Engineer — AI-Driven, Datadog Expert

Jones Lang LaSalle Incorporated; Ciudad de México; On-site; MXN 1,200,000 - 2,000,000; Full time

Job summary

Jones Lang LaSalle (JLL) is seeking a Senior Observability Engineer to design and implement enterprise observability with Datadog, across our global technology estate. You will lead strategic initiatives, develop AI-first reliability, and collaborate across infrastructure, cloud, and application teams to improve visibility and automation.

This role offers growth, exposure to AIOps, and opportunities to influence architectural decisions at scale.

Qualifications

• Bachelor's degree or equivalent in a technical field.
• 5–8+ years in observability, monitoring, SRE, or related roles with leadership.
• Hands-on Datadog implementation in large-scale environments.
• Experience with automation and IaC practices.

Responsibilities

• Lead observability workshops and incident response across APAC, AMER, and EMEA.
• Architect enterprise observability with reliability considerations.
• Drive monitoring standards and prioritization.
• Champion observability strategy across tech initiatives.

Skills

Datadog expert

Automation & orchestration

Python scripting

REST APIs & CI/CD

Multi-cloud (Azure/AWS)

Observability concepts

Education

Bachelor's degree in Computer Science / IT / Engineering

Tools

Datadog

Rundeck

Ansible

Python

PowerShell

Bash

Git/GitHub

CI/CD tools

Job description

Jones Lang LaSalle (JLL) is seeking a Senior Observability Engineer to design and implement enterprise observability with Datadog, across our global technology estate. You will lead strategic initiatives, develop AI-first reliability, and collaborate across infrastructure, cloud, and application teams to improve visibility and automation.

This role offers growth, exposure to AIOps, and opportunities to influence architectural decisions at scale.