We are looking for a Senior Observability Platform Engineer for a contract-to-hire position, with an expected duration of 10+ years, based remotely in the United States.
Responsibilities
Design and scale enterprise observability platforms to meet complex organizational needs
Define and enforce observability patterns, standards, and data models across the platform
Lead intelligent automation and root cause analysis initiatives within observability environments
Manage observability data (logs, metrics, alerts) at scale with focus on cost optimization and governance
Ensure platform reliability, scalability, and seamless cross-tool integration in complex enterprise environments
Operate effectively during high-pressure incident response scenarios to identify and resolve critical issues
Qualifications
Required
8+ years of engineering experience with demonstrated expertise in both engineering and architecture roles
Deep expertise in designing and scaling enterprise observability platforms such as Dynatrace, DataDog, IBM SevOne, or similar tools
Proven ability to define and enforce observability patterns, standards, and data models at scale
Strong experience leading intelligent automation and root cause analysis initiatives within observability environments
Hands-on experience with AIOps platforms and AI-driven analysis tools (e.g., Davis AI, causal analysis engines)
Demonstrated expertise in managing observability data (logs, metrics, alerts) at scale with a focus on cost optimization and governance
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Solid understanding of platform reliability, scalability, and cross-tool integration in complex enterprise environments
Strong analytical and problem-solving skills with the ability to operate effectively during high-pressure incident response scenarios
