JLL empowers you to shape a brighter way.Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients.
We are committed to hiring the best, most talented peopleand empowering them to thrive, grow meaningful careers and to find a place where they belong.
Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.What this job involvesAs a Senior Observability Engineer, you'll lead the design and implementation of enterprise observability solutions across JLL's general technology estate, with primary focus on Datadog.
You'll architect AI-powered reliability solutions that deliver measurable business outcomes while serving as a recognized subject matter expert with organization-wide influence.
Working across infrastructure, network, cloud, and application environments, you'll drive visibility improvements, establish automation standards, and enable teams to derive maximum value from observability data.At JLL, we are collectively shaping a brighter way, and your expertise will be instrumental in making operations smarter, faster, and more reliable.
You'll provide technical guidance and mentorship on enterprise observability practices while maintaining strategic alignment between technical execution and business objectives.
This role offers the opportunity to work with cutting-edge AIOps and AI capabilities while solving complex technical challenges and leading transformational initiatives that define how we operate at scale.What your day-to-day will look likeStrategic Leadership & Enterprise ArchitectureLead observability workshops and major incident response coordination across APAC, AMER, and EMEA regions, establishingbest practices and coaching engineers on operational excellenceArchitect enterprise-scale observability solutions with comprehensive reliability considerations, reviewing and influencing design decisions across multiple teamsDrive organizational improvements in monitoring standards and practices, influencing how resources are allocatedand priorities are setChampion observability strategy as part of broader technology initiatives while leading transformation projects that modernize how wemonitorand operate servicesAdvanced Technical ImplementationBuild, configure, and optimize Datadog capabilities across infrastructure, applications, networks, cloud platforms, logs, and digital experience monitoring with AI-firstmethodologyDevelop sophisticated dashboards, monitors, alerts, integrations, SLIs, SLOs, and service health views that enable data-driven operational decisionsConfigure and troubleshoot Datadog agents, integrations, APIs, collectors, and telemetry pipelines, applying advanced analytical approaches to resolve complex operational challengesBuild scalable automation using Rundeck, Ansible, Python, PowerShell, APIs, and Git-based workflows that standardize observability onboarding, configuration management, self-healing remediation, and platform operationsInnovation & Business ImpactEstablish observability-as-code practices and create reusable patterns, frameworks,



and solutions for adoption across the enterpriseConfigure and optimize AIOps capabilities including event correlation, anomaly detection, intelligent alerting, noise reduction, and incident enrichment while integrating AI into operational workflowsLeverage generative AI and AI-assisted engineering to enhance observability effectiveness, accelerate troubleshooting, improve root-cause analysis, and streamline automation developmentIdentifyopportunities to reduce operational toil,eliminatealert fatigue,optimizetelemetry costs, and improve signal-to-noise ratio whilemaintainingcomprehensive visibilityCross-Functional InfluenceIntegrate Datadog with enterprise platforms such as ServiceNow,Rundeck, cloud services, and CI/CD pipelines to create cohesive operational ecosystemsInvestigate and resolve sophisticated application and infrastructure performance issues using metrics, logs, traces, events, and network telemetry while collaborating with globally distributed teamsShape product and platform strategies through observability leadership, communicating complex technical concepts and building consensus on operational approachesDrive adoption of transformational changes across multiple teams, ensuring quality and consistency of operational deliverables whilemaintainingenterprise standardsRequired qualificationsBachelor's degree in Computer Science, Information Technology, Engineering, or related technical discipline, or equivalent combination of education and professional experience5–8+ years of progressive experience in observability, monitoring, Site Reliability Engineering (SRE), infrastructure engineering, application performance monitoring, or related enterprise technology roles with demonstratedtechnical leadershipDeep hands‐on experience implementing, configuring, and supporting Datadog in large-scale enterprise environments with proven organization-wide impactExpert understanding of modern observability concepts including metrics, logs, traces, telemetry, distributed tracing, alerting, service levelobjectives, and error budgets with demonstratedability to architect solutions at enterprise scaleAdvancedexpertisewith automation and orchestration technologies such asRundeckand Ansible, with proven ability to build AI-enhanced operational solutionsStrongproficiencyin scripting and automation using Python, PowerShell, Bash, or similar languages with experience creating enterprise automation frameworksExtensive experience working with REST APIs, webhooks, Git/GitHub, and CI/CD technologies with demonstratedsuccess integrating observability into enterprise workflowsExpert-level knowledge of major cloud platforms, particularly Azure and AWS; GCP experience beneficial, with demonstratedmulti-cloud operational capabilitiesDeep familiarity with Infrastructure as Code (IaC) and configuration management practices, with hands‐on experience applying observability-as-code methodologiesPreferred qualificationsProvenexpertiseacross multiple observability domains including infrastructure monitoring, APM, log analytics, network performance monitoring,



cloud monitoring, and digital experience monitoring with ability to architect solutions spanning multiple domainsExtensive hands‐on experience with AIOps capabilities such as anomaly detection, event correlation, intelligent alerting, and automated incident analysis with track recordof leading AI strategy and implementationDemonstrated experience with generative AI and AI-assisted engineering, particularly applications that accelerate observability, automation development, troubleshooting effectiveness, and operational efficiencyProventrack recordleading high‐visibility, cross‐functional initiatives and delivering organizational value through process innovation and technology modernizationRelevant certifications in Datadog, cloud technologies (AWS Certified Solutions Architect, Azure Administrator, GCP Professional Cloud Architect), automation, SRE, or related disciplinesExceptional communication and influencing skills withdemonstratedability to work effectively in globally distributed teams, drive transformational change, and shape strategic decisions across APAC, AMER, and EMEA time zonesLocationOn-site –Distrito Federal,MEXAt JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities.
Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.JLL Privacy NoticeJones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services.
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📌 Senior Observability Engineer (Xico)
🏢 Jones Lang LaSalle
📍 Xico