Observability Engineer

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Observability Engineer APAC

Location:Bengaluru (Bangalore) India

What this job involves:

As an Observability Engineer youll implement and operate enterprise monitoring and observability solutions across JLLs global technology infrastructure with primary focus on Datadog. Youll 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 youll onboard services to monitoring build insightful dashboards and intelligent alerts troubleshoot telemetry pipelines and create automation that improves operational efficiency.

At 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. Youll 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.

What your day-to-day will look like:

Independent Design & Implementation:

• Design and configure comprehensive Datadog monitoring solutions independently across infrastructure applications networks cloud platforms logs and digital experience capabilities aligned with enterprise standards
• Create and maintain well-designed dashboards monitors alerts integrations and service health views that provide actionable visibility into system performance and health
• Evaluate and enhance existing monitoring implementations identifying opportunities to improve reliability reduce operational overhead and increase observability effectiveness

Technical Problem Solving:

• Independently solve moderately complex to complex infrastructure and application monitoring challenges by analyzing metrics logs and traces while applying established methodologies
• Install configure validate and troubleshoot Datadog agents integrations APIs collectors and telemetry pipelines to ensure consistent and reliable data collection
• Use comprehensive telemetry including metrics logs distributed traces events and network data to diagnose and resolve application and infrastructure issues

Automation & Best Practices:

• Build and maintain production-grade automated workflows using tools such as Rundeck Ansible Python PowerShell APIs and Git-based processes
• Apply observability-as-code principles and automation patterns to make monitoring configurations consistent version-controlled repeatable and easier to maintain across environments
• Identify and implement innovative automation solutions using AI-assisted approaches for operational tasks reducing manual effort and improving consistency

Team Leadership & Collaboration:

• Onboard services and implement monitoring solutions by collaborating directly with application infrastructure network and cloud teams to understand requirements and constraints
• Serve as a technical resource for less experienced colleagues on troubleshooting techniques operational procedures and monitoring best practices
• Lead moderately sized projects with defined scope and act as an informal mentor delivering knowledge-sharing sessions on incident response system design and observability principles
• Coordinate incident response activities and communicate complex technical information clearly to stakeholders across different technical backgrounds

AIOps & Innovation:

• Support and enhance AIOps capabilities including event correlation anomaly detection intelligent alert routing noise reduction and incident enrichment
• Leverage AI and AI-assisted engineering tools to accelerate troubleshooting improve automation quality enhance documentation and optimize operational workflows
• Contribute improvements to system reliability and operational efficiency by applying modern observability practices within established enterprise frameworks

Required qualifications:

• Bachelors degree in Computer Science Information Technology Engineering or related technical discipline or equivalent combination of education and professional experience
• 35 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
• Strong 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
• Solid working knowledge of observability concepts including metrics logs traces telemetry alerting service health and reliability principles with ability to apply them effectively
• Demonstrated experience with automation and orchestration tools such as Rundeck and Ansible with expanding skillset in operational automation
• Proficient scripting experience using Python PowerShell Bash or similar languages with ability to create maintainable production-quality automation
• Practical experience working with REST APIs webhooks Git/GitHub and CI/CD technologies with understanding of integration patterns and workflows
• Solid exposure to cloud platforms such as Azure AWS or GCP with proficiency in cloud-native technologies and end-to-end reliability solution implementation

Preferred qualifications:

• Experience across multiple observability areas such as infrastructure monitoring application performance monitoring log analytics network monitoring cloud monitoring or digital experience monitoring
• Familiarity with Infrastructure as Code (IaC) configuration management and configuration-as-code practices with understanding of observability-as-code principles
• Experience supporting integrations between observability platforms and enterprise systems such as ServiceNow Rundeck cloud services or CI/CD tooling
• Demonstrated exposure to AIOps concepts and AI-assisted engineering tools with practical understanding of their applications in observability and operations
• Relevant certifications in Datadog cloud platforms (AWS Azure GCP) automation frameworks or related technical areas
• Demonstrated ability to create and maintain technical documentation follow established operational procedures and standards and communicate technical concepts effectively to diverse audiences
• Proven ability to build strong working relationships across operational teams and collaborate effectively in globally distributed culturally diverse environments

Location:

Scheduled Weekly Hours:

If this job description resonates with you we encourage you to apply even if you dont meet all of the requirements. Were 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 yourepursuing.

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