Staff Engineer (Datadog Engineer)

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 ServiceNow 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 :

Bachelors or masters degree in computer science Information Technology or a related field.

Remote Work :

No

Employment Type :

Full-time