Lighthouse Technology Services is partnering with our client to fill their Senior Observability Platform Engineer position! This is a 10+ months contract with potential to hire. Preference is for someone to work REMOTELY in the United States. This role will be a W2 employee of Lighthouse Technology Services. No C2C or subcontracting arrangements will be considered.

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

Pay Range: $80-85/hr

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