Senior Observability AIOps Engineer

KMM Technologies, Inc.; Charlotte (NC); On-site; USD 120,000 - 170,000; Full time

Job summary

KMM Technologies, Inc. is seeking a Senior Observability AIOps Engineer for a 12+ month contract in Charlotte, NC. You will build, integrate, and manage monitoring platforms to reduce alert noise and accelerate RCA.

You will implement AIOps tools, write Python automation, and collaborate with cloud teams on AWS/GCP deployments while applying ITSM principles to incident management.

Qualifications

• 5+ years in observability, monitoring, or SRE roles.
• Experience integrating monitoring/observability tools with enterprise systems.
• Strong scripting and automation skills in Python.

Responsibilities

• Engineer and integrate monitoring and observability tools with enterprise systems.
• Troubleshoot complex application and infrastructure issues.
• Apply ITSM principles to monitoring and incident management.
• Utilize AIOps frameworks to filter false alarms and pinpoint failures.
• Write Python-based automation scripts and API integrations.

Skills

Python scripting

Incident management

ITSM

AIOps concepts

Tools

Cribl Core Components

Splunk

SignalFx

Moogsoft

BigPanda

DynaTrace

LangChain

LlamaIndex

PyTorch

TensorFlow

OpenAI API

Job description

Position: Senior Observability AIOps Engineer

Duration: 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
• Cloud & Infrastructure: AWS, GCP, or other enterprise cloud platforms.
• AI/ML Frameworks: LangChain, LlamaIndex, PyTorch, TensorFlow, and LLM APIs (OpenAI, Anthropic, Hugging Face)