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Senior Observability AIOps Engineer

  • Senior Observability AIOps Engineer job type Posted on: Nov 04, 2026
  • Senior Observability AIOps Engineer experience level KMM Technologies, Inc.
  • Senior Observability AIOps Engineer employment type Charlotte, North Carolina
  • Senior Observability AIOps Engineer employment type Onsite
  • Senior Observability AIOps Engineer salary Full-time

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Job Title :

Senior Observability AIOps Engineer

Job Type :

Full-Time

Job Location :

Charlotte North Carolina United States

Remote :

No

Jobcon Logo Job Description :

Position: Senior Observability AIOps EngineerLocation: Charlotte/ Dallas/ New JerseyDuration: 12+ months Contract Primary Objective: Build, integrate, and manage monitoring and observability platforms using AIOps to reduce alert noise and accelerate root-cause analysis (RCA).Key Responsibilities:• Engineer and integrate monitoring and observability tools with enterprise systems.• Troubleshoot complex application and infrastructure issues.• Apply IT Service Management (ITSM) principles to monitoring and incident management.• Utilize AIOps frameworks to filter out false alarms and pinpoint underlying system failures.• Write Python-based automation scripts and API integrations.Key Required Skills & Tech Stack• Observability & Event Tools: Cribl Core Components, SignalFX, Splunk.AIOps: Moogsoft, Bigpanda, DynaTrace• Programming & Scripting: Python, JavaScript.• Cloud & Infrastructure: AWS, GCP, or other enterprise cloud platforms.• Automation & APIs: Ansible, BigFix, Power Automate, Kong (API management).• AI/ML Frameworks: LangChain, LlamaIndex, PyTorch, TensorFlow, and LLM APIs (OpenAI, Anthropic, Hugging Face)

Jobcon Logo Position Details

Posted:

Nov 04, 2026

Reference Number:

10440_4487030524

Employment:

Full-time

City:

Charlotte

Job Origin:

APPCAST_CPC

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Position: Senior Observability AIOps EngineerLocation: Charlotte/ Dallas/ New JerseyDuration: 12+ months Contract Primary Objective: Build, integrate, and manage monitoring and observability platforms using AIOps to reduce alert noise and accelerate root-cause analysis (RCA).Key Responsibilities:• Engineer and integrate monitoring and observability tools with enterprise systems.• Troubleshoot complex application and infrastructure issues.• Apply IT Service Management (ITSM) principles to monitoring and incident management.• Utilize AIOps frameworks to filter out false alarms and pinpoint underlying system failures.• Write Python-based automation scripts and API integrations.Key Required Skills & Tech Stack• Observability & Event Tools: Cribl Core Components, SignalFX, Splunk.AIOps: Moogsoft, Bigpanda, DynaTrace• Programming & Scripting: Python, JavaScript.• Cloud & Infrastructure: AWS, GCP, or other enterprise cloud platforms.• Automation & APIs: Ansible, BigFix, Power Automate, Kong (API management).• AI/ML Frameworks: LangChain, LlamaIndex, PyTorch, TensorFlow, and LLM APIs (OpenAI, Anthropic, Hugging Face)

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