{"id":3056744,"url":"https://alion.io/job/jones-lang-lasalle-observability-engineer","title":"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":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":11500,"max_usd":32000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":30},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AIOps","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Ansible","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","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":"Configuration Management","optional":true},{"name":"ServiceNow","optional":true}],"status":"live","first_seen_at":"2026-10-15T00:00:00Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-25T13:20:12Z","board_verified":true,"closed_at":null,"days_open":11,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":11},"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.\nObservability Engineer - APAC\nLocation: Bengaluru (Bangalore), India\nWhat this job involves:\nAs an Observability Engineer, you'll implement and operate enterprise monitoring and observability solutions across JLL's global technology infrastructure, with primary focus on Datadog. You'll bring fresh perspectives to existing monitoring approaches while independently solving complex infrastructure challenges that span multiple technology domains. Working with application, infrastructure, network, and cloud teams, you'll onboard services to monitoring, build insightful dashboards and intelligent alerts, troubleshoot telemetry pipelines, and create automation that improves operational efficiency.\nAt JLL, we believe the most effective teams are built when everyone is empowered to thrive, and this role offers an excellent opportunity to develop your skills while contributing to operational excellence. You'll independently design monitoring solutions for sophisticated use cases, evaluate existing implementations for improvement opportunities, and ensure solutions are scalable and maintainable. We embrace more innovative ways of working and prioritize opportunities to strengthen and advance your career, making this position ideal for an engineer who enjoys learning new technologies, solving technical problems, and growing expertise in observability practices.\nWhat your day-to-day will look like:\nIndependent Design & Implementation:\nDesign and configure comprehensive Datadog monitoring solutions independently across infrastructure, applications, networks, cloud platforms, logs, and digital experience capabilities aligned with enterprise standards\nCreate and maintain well-designed dashboards, monitors, alerts, integrations, and service health views that provide actionable visibility into system performance and health\nEvaluate and enhance existing monitoring implementations, identifying opportunities to improve reliability, reduce operational overhead, and increase observability effectiveness\nTechnical Problem Solving:\nIndependently solve moderately complex to complex infrastructure and application monitoring challenges by analyzing metrics, logs, and traces while applying established methodologies\nInstall, configure, validate, and troubleshoot Datadog agents, integrations, APIs, collectors, and telemetry pipelines to ensure consistent and reliable data collection\nUse comprehensive telemetry including metrics, logs, distributed traces, events, and network data to diagnose and resolve application and infrastructure issues\nAutomation & Best Practices:\nBuild and maintain production-grade automated workflows using tools such as Rundeck, Ansible, Python, PowerShell, APIs, and Git-based processes\nApply observability-as-code principles and automation patterns to make monitoring configurations consistent, version-controlled, repeatable, and easier to maintain across environments\nIdentify and implement innovative automation solutions using AI-assisted approaches for operational tasks, reducing manual effort and improving consistency\nTeam Leadership & Collaboration:\nOnboard services and implement monitoring solutions by collaborating directly with application, infrastructure, network, and cloud teams to understand requirements and constraints\nServe as a technical resource for less experienced colleagues on troubleshooting techniques, operational procedures, and monitoring best practices\nLead moderately sized projects with defined scope and act as an informal mentor, delivering knowledge-sharing sessions on incident response, system design, and observability principles\nCoordinate incident response activities and communicate complex technical information clearly to stakeholders across different technical backgrounds\nAIOps & Innovation:\nSupport and enhance AIOps capabilities including event correlation, anomaly detection, intelligent alert routing, noise reduction, and incident enrichment\nLeverage AI and AI-assisted engineering tools to accelerate troubleshooting, improve automation quality, enhance documentation, and optimize operational workflows\nContribute improvements to system reliability and operational efficiency by applying modern observability practices within established enterprise frameworks\nRequired qualifications:\nBachelor's degree in Computer Science, Information Technology, Engineering, or related technical discipline, or equivalent combination of education and professional experience\n3-5+ years of experience in observability, monitoring, infrastructure engineering, application support, Site Reliability Engineering (SRE), or related technology roles with demonstrated ability to work independently on complex challenges\nStrong hands-on experience with Datadog or comparable enterprise observability platforms; direct Datadog experience is strongly preferred with proven ability to design and implement solutions independently\nSolid working knowledge of observability concepts including metrics, logs, traces, telemetry, alerting, service health, and reliability principles with ability to apply them effectively\nDemonstrated experience with automation and orchestration tools such as Rundeck and Ansible, with expanding skillset in operational automation\nProficient scripting experience using Python, PowerShell, Bash, or similar languages with ability to create maintainable, production-quality automation\nPractical experience working with REST APIs, webhooks, Git/GitHub, and CI/CD technologies with understanding of integration patterns and workflows\nSolid exposure to cloud platforms such as Azure, AWS, or GCP with proficiency in cloud-native technologies and end-to-end reliability solution implementation\nPreferred qualifications:\nExperience across multiple observability areas such as infrastructure monitoring, application performance monitoring, log analytics, network monitoring, cloud monitoring, or digital experience monitoring\nFamiliarity with Infrastructure as Code (IaC), configuration management, and configuration-as-code practices with understanding of observability-as-code principles\nExperience supporting integrations between observability platforms and enterprise systems such as ServiceNow, Rundeck, cloud services, or CI/CD tooling\nDemonstrated exposure to AIOps concepts and AI-assisted engineering tools with practical understanding of their applications in observability and operations\nRelevant certifications in Datadog, cloud platforms (AWS, Azure, GCP), automation frameworks, or related technical areas\nDemonstrated ability to create and maintain technical documentation, follow established operational procedures and standards, and communicate technical concepts effectively to diverse audiences\nProven ability to build strong working relationships across operational teams and collaborate effectively in globally distributed, culturally diverse environments\nLocation:\nOn-site -Bengaluru, KAScheduled Weekly Hours:\n40If 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. 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