Senior Observability Platform Engineer & AIOps Lead

Software Technology Inc.

Buffalo (NY)

On-site

USD 140,000 - 200,000

Full time

8 hours ago
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Job summary

Software Technology Inc. is seeking a senior Observability Platform Engineer to support engineering and architecture for the observability team.

The role will focus on designing scalable observability platforms and enforcing data models across tools, including Dynatrace and SevOne. You will drive AIOps enablement (Davis AI/causal analysis) and lead efforts to reduce alert noise and cost overruns while maintaining platform reliability.

Qualifications

  • Senior-level engineer to support observability team and convert to FTE in 05/2027.
  • Provide hands-on technical leadership for platform reliability and scalability.
  • Design and enforce observability patterns and standards.
  • Lead AIOps enablement (Davis AI / causal analysis).
  • Prevent uncontrolled log growth, alert noise, and cost overruns.
  • Ensure data models align across observability tools (Dynatrace, SevOne, ITOM).

Responsibilities

  • Provide hands-on technical leadership for platform reliability and scalability.
  • Design and enforce observability patterns and standards across tooling.
  • Lead AIOps enablement and causal analysis initiatives.
  • Prevent log growth and alert noise while controlling costs.
  • Ensure data model alignment across observability tools.

Skills

Observability design
Platform reliability
Cross-tool integration
AIOps enablement
Root cause analysis
AI-driven analytics
Logs and metrics management
Cost optimization
Governance

Tools

Dynatrace
IBM SevOne
ServiceNow ITOM

Job description

Software Technology Inc. is seeking a senior Observability Platform Engineer to support engineering and architecture for the observability team.

The role will focus on designing scalable observability platforms and enforcing data models across tools, including Dynatrace and SevOne. You will drive AIOps enablement (Davis AI/causal analysis) and lead efforts to reduce alert noise and cost overruns while maintaining platform reliability.

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