Senior Observability Engineer

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 people and 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 involves:

As a Senior Observability Engineer,   you'll   lead the design and implementation of enterprise observability solutions across JLL's global 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 like:

Strategic Leadership & Enterprise Architecture:

- Lead observability workshops and major incident response coordination across APAC, AMER, and EMEA regions,   establishing   best practices and coaching engineers on operational excellence

- Architect enterprise-scale observability solutions with comprehensive reliability considerations, reviewing and influencing design decisions across multiple teams

- Drive organizational improvements in monitoring standards and practices, influencing how resources are   allocated   and priorities are set

- Champion observability strategy as part of broader technology initiatives while leading transformation projects that modernize how we   monitor   and operate services

Advanced Technical Implementation:

- Build, configure, and optimize Datadog capabilities across infrastructure, applications, networks, cloud platforms, logs, and digital experience monitoring with AI-first   methodology

- Develop sophisticated dashboards, monitors, alerts, integrations, SLIs, SLOs, and service health views that enable data-driven operational decisions

- Configure and troubleshoot Datadog agents, integrations, APIs, collectors, and telemetry pipelines, applying advanced analytical approaches to resolve complex operational challenges

- Build scalable automation using   Rundeck , Ansible, Python, PowerShell, APIs, and Git-based workflows that standardize observability onboarding, configuration management, self-healing remediation, and platform operations

Innovation & Business Impact:

- Establish observability-as-code practices and create reusable patterns, frameworks, and solutions for adoption across the enterprise

- Configure and   optimize   AIOps capabilities including event correlation, anomaly detection, intelligent alerting, noise reduction, and incident enrichment while integrating AI into operational workflows

- Leverage generative AI and AI-assisted engineering to enhance observability effectiveness, accelerate troubleshooting, improve root-cause analysis, and streamline automation development

- Identify   opportunities to reduce operational toil,   eliminate   alert fatigue,   optimize   telemetry costs, and improve signal-to-noise ratio while   maintaining   comprehensive visibility

Cross-Functional Influence:

- Integrate Datadog with enterprise platforms such as ServiceNow,   Rundeck , cloud services, and CI/CD pipelines to create cohesive operational ecosystems

- Investigate and resolve sophisticated application and infrastructure performance issues using metrics, logs, traces, events, and network telemetry while collaborating with globally distributed teams

- Shape product and platform strategies through observability leadership, communicating complex technical concepts and building consensus on operational approaches

- Drive adoption of transformational changes across multiple teams, ensuring quality and consistency of operational deliverables while   maintaining   enterprise standards

Required qualifications:

- Bachelor's degree in Computer Science , Information Technology, Engineering, or related technical discipline, or equivalent combination of education and professional experience

- 5–8+ years of progressive experience in observability, monitoring, Site Reliability Engineering (SRE), infrastructure engineering, application performance monitoring, or related enterprise technology roles with   demonstrated   technical leadership

- Deep hands-on experience implementing, configuring, and supporting Datadog in large-scale enterprise environments with proven organization-wide impact

- Expert understanding of modern observability concepts including metrics, logs, traces, telemetry, distributed tracing, alerting, service level   objectives , and error budgets with   demonstrated   ability to architect solutions at enterprise scale

- Advanced   expertise   with automation and orchestration technologies such as   Rundeck   and Ansible, with proven ability to build AI-enhanced operational solutions

- Strong   proficiency   in scripting and automation using Python, PowerShell, Bash, or similar languages with experience creating enterprise automation frameworks

- Extensive experience working with REST APIs, webhooks, Git/GitHub, and CI/CD technologies with   demonstrated   success integrating observability into enterprise workflows

- Expert-level knowledge of major cloud platforms, particularly Azure and AWS; GCP experience beneficial, with   demonstrated   multi-cloud operational capabilities

- Deep familiarity with Infrastructure as Code ( IaC ) and configuration management practices, with hands-on experience applying observability-as-code methodologies

Preferred qualifications:

- Proven   expertise   across 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 domains

- Extensive hands-on experience with AIOps capabilities such as anomaly detection, event correlation, intelligent alerting, and automated incident analysis with   track record   of leading AI strategy and implementation

- Demonstrated experience with generative AI and AI-assisted engineering, particularly applications that accelerate observability, automation development, troubleshooting effectiveness, and operational efficiency

- Proven   track record   leading high-visibility, cross-functional initiatives and delivering organizational value through process innovation and technology modernization

- Relevant certifications in Datadog, cloud technologies (AWS Certified Solutions Architect, Azure Administrator, GCP Professional Cloud Architect), automation, SRE, or related disciplines

- Exceptional communication and influencing skills with   demonstrated   ability to work effectively in globally distributed teams, drive transformational change, and shape strategic decisions across APAC, AMER, and EMEA time zones

Location:

On-site –Distrito Federal,MEX

If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements.  We’re interested in getting to know you and what you bring to the table!

At 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.

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