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Senior Observability Platform Engineer Remote(EST Hours) w2 Position
Quick Overview
Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
23 hours ago
Datadog
Job Description
Role: Senior Observability Platform Engineer
Location : Remote (EST Hours)
Duration : 10+ months contract with potential to hire
Job Description
What You'll Be Doing:
- Lead hands-on technical leadership for observability platform reliability and scalability across enterprise monitoring systems, including Dynatrace and IBM SevOne
- Design and enforce observability patterns, standards, and data models to ensure alignment across multiple observability tools (Dynatrace, IBM SevOne, ServiceNow ITOM)
- Drive AIOps enablement initiatives, including Davis AI implementation and causal analysis capabilities to improve operational decision-making
- Architect and scale observability platforms across Application Performance Monitoring, Network Performance Monitoring, and Ingest (Dashboard & Visibility) tiers
- Prevent uncontrolled log growth, reduce alert noise, and implement cost optimization strategies across the observability ecosystem
- Lead root cause analysis initiatives and provide critical support during incident response "war room" sessions
- Manage system health monitoring for servers, infrastructure, and applications across the enterprise
- Collaborate with cross-functional teams to implement intelligent automation and advance observability maturity across the organization
What You'll Need to Have:
- 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
- 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
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