{"id":3056751,"url":"https://alion.io/job/jones-lang-lasalle-senior-observability-engineer","title":"Senior Observability Engineer","company":{"id":616,"name":"Jones Lang LaSalle","domain":"jll.com","url":"https://alion.io/company/jones-lang-lasalle","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":495,"ghost_share":0.004,"stale_share":0.091,"repost_share":0.038,"time_to_fill_p50_days":7,"computed_at":"2026-10-26T05:57:25Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Guadalajara, Mexico"],"countries":["MX"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":32000,"max_usd":88000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":3508},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"Ansible","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Configuration Management","optional":false},{"name":"Datadog","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"PowerShell","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Self-Healing","optional":false},{"name":"ServiceNow","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"AIOps","optional":true}],"status":"live","first_seen_at":"2026-10-14T00:00:00Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-25T13:20:12Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"JLL empowers you to shape a brighter way.\nOur 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.\nWhat this job involves:\nAs a Senior Observability Engineer,you'lllead the design and implementation of enterprise observability solutions across JLL's global technology estate, withprimaryfocus on Datadog.You'llarchitect 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'lldrive visibility improvements,establishautomation standards, and enable teams to derive maximum value from observability data.\nAt JLL, we are collectivelyshapinga brighter way, and yourexpertisewill be instrumental in making operations smarter, faster, and more reliable.You'llprovide technical guidance and mentorship on enterprise observability practices whilemaintainingstrategic alignment between technical execution and businessobjectives. This role offers the opportunity to work withcutting-edgeAIOps and AI capabilities while solving complex technical challenges and leading transformational initiatives that define how weoperateat scale.\nWhat your day-to-day will look like:\nStrategic Leadership & Enterprise Architecture:\nLead observability workshops and major incident response coordination across APAC, AMER, and EMEA regions,establishingbest practices and coaching engineers on operational excellence\n\nArchitect enterprise-scale observability solutions with comprehensive reliability considerations, reviewing and influencing design decisions across multiple teams\n\nDrive organizational improvements in monitoring standards and practices, influencing how resources areallocatedand priorities are set\n\nChampion observability strategy as part of broader technology initiatives while leading transformation projects that modernize how wemonitorand operate services\n\nAdvanced Technical Implementation:\nBuild, configure, and optimize Datadog capabilities across infrastructure, applications, networks, cloud platforms, logs, and digital experience monitoring with AI-firstmethodology\n\nDevelop sophisticated dashboards, monitors, alerts, integrations, SLIs, SLOs, and service health views that enable data-driven operational decisions\n\nConfigure and troubleshoot Datadog agents, integrations, APIs, collectors, and telemetry pipelines, applying advanced analytical approaches to resolve complex operational challenges\n\nBuild scalable automation usingRundeck, Ansible, Python, PowerShell, APIs, and Git-based workflows that standardize observability onboarding, configuration management, self-healing remediation, and platform operations\n\nInnovation & Business Impact:\nEstablish observability-as-code practices and create reusable patterns, frameworks, and solutions for adoption across the enterprise\n\nConfigure andoptimizeAIOps capabilities including event correlation, anomaly detection, intelligent alerting, noise reduction, and incident enrichment while integrating AI into operational workflows\n\nLeverage generative AI and AI-assisted engineering to enhance observability effectiveness, accelerate troubleshooting, improve root-cause analysis, and streamline automation development\n\nIdentifyopportunities to reduce operational toil,eliminatealert fatigue,optimizetelemetry costs, and improve signal-to-noise ratio whilemaintainingcomprehensive visibility\n\nCross-Functional Influence:\nIntegrate Datadog with enterprise platforms such as ServiceNow,Rundeck, cloud services, and CI/CD pipelines to create cohesive operational ecosystems\n\nInvestigate and resolve sophisticated application and infrastructure performance issues using metrics, logs, traces, events, and network telemetry while collaborating with globally distributed teams\n\nShape product and platform strategies through observability leadership, communicating complex technical concepts and building consensus on operational approaches\n\nDrive adoption of transformational changes across multiple teams, ensuring quality and consistency of operational deliverables whilemaintainingenterprise standards\n\nRequired qualifications:\nBachelor's degree in Computer Science, Information Technology, Engineering, or related technical discipline, or equivalent combination of education and professional experience\n\n5-8+ years of progressive experience in observability, monitoring, Site Reliability Engineering (SRE), infrastructure engineering, application performance monitoring, or related enterprise technology roles withdemonstratedtechnical leadership\n\nDeep hands-on experience implementing, configuring, and supporting Datadog in large-scale enterprise environments with proven organization-wide impact\n\nExpert understanding of modern observability concepts including metrics, logs, traces, telemetry, distributed tracing, alerting, service levelobjectives, and error budgets withdemonstratedability to architect solutions at enterprise scale\n\nAdvancedexpertisewith automation and orchestration technologies such asRundeckand Ansible, with proven ability to build AI-enhanced operational solutions\n\nStrongproficiencyin scripting and automation using Python, PowerShell, Bash, or similar languages with experience creating enterprise automation frameworks\n\nExtensive experience working with REST APIs, webhooks, Git/GitHub, and CI/CD technologies withdemonstratedsuccess integrating observability into enterprise workflows\n\nExpert-level knowledge of major cloud platforms, particularly Azure and AWS; GCP experience beneficial, withdemonstratedmulti-cloud operational capabilities\n\nDeep familiarity with Infrastructure as Code (IaC) and configuration management practices, with hands-on experience applying observability-as-code methodologies\n\nPreferred qualifications:\nProvenexpertiseacross 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\n\nExtensive hands-on experience with AIOps capabilities such as anomaly detection, event correlation, intelligent alerting, and automated incident analysis withtrack recordof leading AI strategy and implementation\n\nDemonstrated experience with generative AI and AI-assisted engineering, particularly applications that accelerate observability, automation development, troubleshooting effectiveness, and operational efficiency\n\nProventrack recordleading high-visibility, cross-functional initiatives and delivering organizational value through process innovation and technology modernization\n\nRelevant certifications in Datadog, cloud technologies (AWS Certified Solutions Architect, Azure Administrator, GCP Professional Cloud Architect), automation, SRE, or related disciplines\n\nExceptional 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 zones\n\nLocation:\nOn-site -Distrito Federal,MEXIf 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!\nAt 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.\nJLL Privacy Notice\nJones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.\nFor more information about how JLL processes your personal data, please view our Candidate Privacy Statement.\nFor additional details please see our career site pages for each country.\nJones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at . This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.\nJones Lang LaSalle (\"JLL\") está comprometida a trabajar con personas con discapacidades y proporcionarles accesibilidad. Si necesita un ajuste razonable para cualquier parte del proceso de empleo - incluyendo la candidatura en línea y/o el proceso general de selección - puede enviarnos un correo electrónico . Este correo electrónico es solo para solicitar un ajuste razonable. Por favor, dirija cualquier otra consulta general de reclutamiento a nuestra página Contáctanos > Quiero trabajar para JLL.","description_format":"text","description_chars":9976,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Real Estate","Real Estate Investment","Real Estate Brokerage","Facilities Management"],"lifecycle":[{"event":"open","at":"2026-10-22T04:05:12Z"}],"visa":[],"liveness":{"score":34,"band":"fade","label":"Fading","p_open":1,"p_active":0.753,"p_room":0.45,"age_days":12,"expected_fill_days":7,"reasons":["conf:16","velocity","win:tail","comp:brand"],"computed_at":"2026-10-26T05:57:25Z"},"pay":null,"html_url":"https://alion.io/job/jones-lang-lasalle-senior-observability-engineer","json_url":"https://alion.io/job/jones-lang-lasalle-senior-observability-engineer.json","meta":{"generated_at":"2026-10-26T23:54:45Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":32807,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-27T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":616},"rest":"https://alion.io/mcp/rest/get_company?id=616"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fjones-lang-lasalle-senior-observability-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fjones-lang-lasalle-senior-observability-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fjones-lang-lasalle-senior-observability-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/jones-lang-lasalle-senior-observability-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fjones-lang-lasalle-senior-observability-engineer"}]}