Observability Engineer at Ryan Specialty driving strategy, implementation, and optimization of observability platforms. Ensuring system reliability and performance through advanced monitoring and analytics.
Responsibilities
Lead the design, deployment, and management of observability tools including Datadog, Dynatrace, Azure Monitor, and Splunk
Develop and maintain dashboards, alerts, and reports to provide actionable insights into system health and performance
Collaborate with infrastructure, application, and DevOps teams to define observability standards and best practices
Drive integration of observability platforms with CI/CD pipelines and cloud-native environments
Analyze telemetry data to identify trends, anomalies, and opportunities for optimization
Mentor junior engineers and promote a culture of observability across the organization
Evaluate emerging technologies and recommend enhancements to the observability stack
Ensure compliance with security and governance policies in monitoring implementations
Requirements
Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
5+ years of experience in infrastructure monitoring, observability, or site reliability engineering
Hands-on expertise with Datadog, Dynatrace, Azure Monitor, and Splunk
Strong understanding of cloud platforms (especially Microsoft Azure) and hybrid environments
Proficiency in scripting languages (e.g., Python, PowerShell) for automation and data manipulation
Experience with log aggregation, distributed tracing, and metrics collection
Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment
Applicants must be authorized to work for any employer in the U.S. and we are unable to sponsor or take over sponsorship of an employment visa at this time
Benefits
Paid time off for company holidays, vacation, sick and personal days
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