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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