Senior Observability Platform Engineer

Intone Networks Inc.; Northern (KY); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Intone Networks Inc. seeks a Senior Observability Platform Engineer for a contract-to-hire role, fully remote within the United States. You will design, scale, and govern enterprise observability across multiple tools, driving automation and AI-assisted root-cause analysis while ensuring reliability and cost efficiency.

This is a long-term engagement with potential for full-time employment. The role requires deep expertise in modern observability stacks and hands-on leadership in cross-tool

Qualifications

• 8+ years of engineering experience in complex environments.
• Proven ability to design and scale enterprise observability platforms.
• Experience with AIOps platforms and AI-driven analysis tools.
• Strong leadership in automation and root cause analysis initiatives.

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 at scale with focus on cost optimization and governance.
• Ensure platform reliability, scalability, and cross-tool integration in enterprise environments.
• Operate during high-pressure incident response scenarios to identify and resolve critical issues.

Skills

Enterprise observability

Dynatrace/DataDog/SevOne

AIOps / AI-driven analysis

Incident response

Automation & RCAs

Cost optimization & governance

Tools

Dynatrace

DataDog

IBM SevOne

Job description

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
  • 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