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Metro location and mid-level experience increase competition despite Datadog specialization.
Observability and cloud skills transfer broadly, but Datadog and ITIL requirements favor specific operational backgrounds.
Explicit 5.5+ years plus mandatory Datadog, Terraform, Azure DevOps and ITIL narrow candidate pool.
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Design, implement, and manage comprehensive Datadog monitoring solutions including dashboards, alerts, log pipelines, and Real User Monitoring across enterprise infrastructure and applications.
Develop and maintain Terraform modules and Azure DevOps CI/CD pipelines to automate Datadog configuration, deployment, and observability frameworks.
Collaborate with cross-functional teams to ensure end-to-end monitoring coverage, support ITIL-based incident and change management, and optimize platform performance and reliability.
Minimum 5.5 years of professional experience in enterprise monitoring, observability, or cloud infrastructure engineering.
Proven hands-on expertise with Datadog across various modules like Infrastructure Monitoring, APM, Synthetic Monitoring, RUM, and Log Management.
Strong experience with Microsoft Azure DevOps Pipeline Strategy including CI/CD pipeline design and implementation.
Bachelor’s or master’s degree in Computer Science, Information Technology, or a related field.
Experienced in designing and automating monitoring and observability solutions at enterprise scale involving cloud platforms such as AWS, Azure, or GCP.
Skilled in infrastructure as code tools like Terraform and automation scripting to drive monitoring deployment and operational efficiency.
Familiar with ITIL processes and incident management with ability to troubleshoot and optimize complex production issues involving monitoring platforms.