Company Description
We're Nagarro.
We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at a scale — across all devices and digital mediums, and our people exist everywhere in the world (18500+ experts across 40 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!
Job Description
Requirements
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Experience : 5.5+ years
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Strong experience in enterprise monitoring, observability, or cloud infrastructure engineering.
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Strong hands-on experience with Datadog across Infrastructure Monitoring, APM, Synthetic Monitoring, Database Monitoring, Real User Monitoring (RUM), and Log Management.
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Expertise in Microsoft Azure DevOps Pipeline Strategy, including designing and implementing CI/CD pipelines for monitoring and observability solutions.
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Strong experience with Terraform for Infrastructure as Code (IaC), automating Datadog configuration and deployment.
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Strong knowledge of ITIL processes, including Incident, Problem, Change, and Service Management.
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Hands-on experience in incident management, root cause analysis, troubleshooting, and production support.
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Experience creating and maintaining Datadog dashboards, monitors, alerts, log pipelines, and service-level monitoring.
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Strong understanding of cloud platforms such as AWS, Azure, or Google Cloud Platform.
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Experience with automation tools and scripting to streamline monitoring deployment and operational processes.
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Knowledge of application performance monitoring, distributed tracing, infrastructure monitoring, and observability best practices.
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Familiarity with ServiceNow and ITSM workflows is preferred.
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Exposure to other enterprise monitoring and observability tools is an advantage.
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Strong analytical, troubleshooting, and problem-solving skills with the ability to resolve complex production issues.
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Excellent verbal and written communication skills with the ability to collaborate across cross-functional teams.
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Ability to manage multiple priorities in a fast-paced, enterprise environment.
Responsibilities
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Design, implement, and manage Datadog monitoring solutions across infrastructure, applications, databases, synthetic monitoring, and Real User Monitoring (RUM).
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Configure and maintain Datadog dashboards, monitors, alerts, log pipelines, and observability frameworks to provide comprehensive operational visibility.
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Develop and maintain Terraform modules to automate Datadog configuration, deployment, and infrastructure provisioning.
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Design and implement Azure DevOps CI/CD pipelines for monitoring configuration, automation, and continuous delivery.
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Collaborate with application, infrastructure, cloud, and DevOps teams to ensure end-to-end monitoring coverage across enterprise platforms.
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Implement monitoring standards, instrumentation, and best practices for cloud-native and enterprise applications.
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Support incident, problem, and change management processes while ensuring adherence to ITIL best practices.
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Perform root cause analysis, troubleshoot monitoring issues, and optimize platform performance to improve service reliability.
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Develop monitoring strategies for cloud environments across AWS, Azure, and hybrid infrastructure.
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Configure log collection, parsing, enrichment, and routing to support operational monitoring and analytics.
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Build automated monitoring and alerting solutions to proactively identify performance, availability, and infrastructure issues.
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Integrate Datadog with enterprise tools, ITSM platforms, and automation frameworks to improve operational efficiency.
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Maintain technical documentation, monitoring standards, operational procedures, and deployment guides.
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Participate in production support, release activities, platform upgrades, and continuous improvement initiatives.
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Work closely with stakeholders to enhance observability capabilities, optimize monitoring coverage, and improve overall platform reliability and operational excellence.
Qualifications
Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
