Staff Engineer (Datadog Engineer)

Location: Hyderabad, in

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

• Experience : 5.5+ years
• Strong experience in enterprise monitoring, observability, or cloud infrastructure engineering.
• Strong hands-on experience with Datadog across Infrastructure Monitoring, APM, Synthetic Monitoring, Database Monitoring, Real User Monitoring (RUM), and Log Management.
• Expertise in Microsoft Azure DevOps Pipeline Strategy, including designing and implementing CI/CD pipelines for monitoring and observability solutions.
• Strong experience with Terraform for Infrastructure as Code (IaC), automating Datadog configuration and deployment.
• Strong knowledge of ITIL processes, including Incident, Problem, Change, and Service Management.
• Hands-on experience in incident management, root cause analysis, troubleshooting, and production support.
• Experience creating and maintaining Datadog dashboards, monitors, alerts, log pipelines, and service-level monitoring.
• Strong understanding of cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Experience with automation tools and scripting to streamline monitoring deployment and operational processes.
• Knowledge of application performance monitoring, distributed tracing, infrastructure monitoring, and observability best practices.
• Familiarity with and ITSM workflows is preferred.
• Exposure to other enterprise monitoring and observability tools is an advantage.
• Strong analytical, troubleshooting, and problem-solving skills with the ability to resolve complex production issues.
• Excellent verbal and written communication skills with the ability to collaborate across cross-functional teams.
• Ability to manage multiple priorities in a fast-paced, enterprise environment.

Responsibilities

• Design, implement, and manage Datadog monitoring solutions across infrastructure, applications, databases, synthetic monitoring, and Real User Monitoring (RUM).
• Configure and maintain Datadog dashboards, monitors, alerts, log pipelines, and observability frameworks to provide comprehensive operational visibility.
• Develop and maintain Terraform modules to automate Datadog configuration, deployment, and infrastructure provisioning.
• Design and implement Azure DevOps CI/CD pipelines for monitoring configuration, automation, and continuous delivery.
• Collaborate with application, infrastructure, cloud, and DevOps teams to ensure end-to-end monitoring coverage across enterprise platforms.
• Implement monitoring standards, instrumentation, and best practices for cloud-native and enterprise applications.
• Support incident, problem, and change management processes while ensuring adherence to ITIL best practices.
• Perform root cause analysis, troubleshoot monitoring issues, and optimize platform performance to improve service reliability.
• Develop monitoring strategies for cloud environments across AWS, Azure, and hybrid infrastructure.
• Configure log collection, parsing, enrichment, and routing to support operational monitoring and analytics.
• Build automated monitoring and alerting solutions to proactively identify performance, availability, and infrastructure issues.
• Integrate Datadog with enterprise tools, ITSM platforms, and automation frameworks to improve operational efficiency.
• Maintain technical documentation, monitoring standards, operational procedures, and deployment guides.
• Participate in production support, release activities, platform upgrades, and continuous improvement initiatives.
• 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.