ZipRecruiter

Log In

1

Aiops Engineer Jobs (NOW HIRING)

Bellwether Enterprise

AI Engineer

Columbus, OH · On-site

Partner with AIOps Engineer to implement monitoring, alerting, and optimization strategies for AI applications and services. * Participate in rapid prototyping and proof-of-concept development to ...

next page

Showing results 1-20

All JobsAiops Engineer Jobs

Aiops Engineer information

What are some typical responsibilities and challenges faced by Aiops Engineers on a daily basis?

Aiops Engineers are responsible for designing and implementing automation solutions that monitor and manage IT infrastructure, troubleshoot complex issues, and optimize processes using AI and machine learning techniques. A typical day may involve collaborating with developers, DevOps teams, and IT managers to analyze incidents, reduce false positives, and automate repetitive tasks. Common challenges include integrating diverse monitoring tools, maintaining system reliability in dynamic environments, and ensuring scalability of automation frameworks. Working in this role often means adapting quickly to new technologies and rapidly evolving operational landscapes, which helps build valuable expertise and career growth opportunities.

What are the key skills and qualifications needed to thrive in the Aiops Engineer position, and why are they important?

To thrive as an Aiops Engineer, you need expertise in IT operations, automation, data analytics, and machine learning, often supported by a degree in computer science or a related field. Proficiency with tools like Kubernetes, Prometheus, Splunk, and cloud platforms, as well as certifications in DevOps or cloud administration, is highly valued. Strong problem-solving abilities, effective communication, and a collaborative mindset are important soft skills in this field. These skills ensure smooth deployment and maintenance of AI-driven operational solutions, leading to enhanced system reliability and efficiency.

What does an AIOps Engineer do?

An AIOps Engineer focuses on applying artificial intelligence (AI) and machine learning (ML) to IT operations. They develop and implement algorithms to automate monitoring, anomaly detection, and incident resolution, improving system reliability and performance. Their work involves analyzing vast amounts of data from IT environments to predict issues and optimize workflows. AIOps Engineers collaborate with DevOps and IT teams to enhance operational efficiency and reduce downtime.

Is AIOps a good career?

AIOps engineers focus on applying artificial intelligence and machine learning to IT operations, improving system reliability and automation. The role requires skills in data analysis, scripting, and familiarity with tools like ML frameworks and monitoring platforms, making it a growing and in-demand field with good career prospects. Continuous learning and certifications can enhance job opportunities in this evolving area.
More about Aiops Engineer jobs
What cities are hiring for Aiops Engineer jobs? Cities with the most Aiops Engineer job openings:
What are the most commonly searched types of Aiops Engineer jobs? The most popular types of Aiops Engineer jobs are:
What states have the most Aiops Engineer jobs? States with the most job openings for Aiops Engineer jobs include:
What job categories do people searching Aiops Engineer jobs look for? The top searched job categories for Aiops Engineer jobs are:
Aiops Engineer jobs near you
Infographic showing various Aiops Engineer job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Netcool Developer with AIOps Cloud Pak (77056-1)

head-huntress.com

Irving, TX

$62 - $65/hr

Full-time

Posted 15 days ago

Job description

Role Descriptions

A Netcool Developer with AIOps Cloud Pak expertise is responsible for integrating and migrating traditional IBM Netcool Operations Insight (NOI) event management systems with the AI-powered capabilities of the IBM Cloud Pak for AIOps platform.
The role involves automating IT operations| reducing alert noise| and using AIML to predict and resolve incidents faster.

Key Responsibilities-
Integration and Migration Connecting existing on-premises Netcool Omnibus and Netcool Impact environments with IBM Cloud Pak for AIOps using provided connectors. This includes migrating existing event filters and runbook automation policies.
Event and Data Management Ensuring seamless bidirectional synchronization of event data between Netcool and the AIOps platform.
This involves configuring data mapping and transformation rules (often using JSONATA) for consistent alert and event processing across systems.
Automation Development Creating and implementing automation policies and runbooks (often using Netcool Impact policies and potentially Python Bash scripts) within the AIOps environment to automatically diagnose and remediate IT issues.AI Model Training and Management.
Assisting in feeding quality data to the AIOps platforms machine learning models to enable event grouping| log anomaly detection| metric anomaly detection| and change risk assessment.
Topology and Visualization Utilizing the AIOps platforms resource management and topology features to provide a unified| application-centric view of the IT infrastructure| helping to understand interdependencies and the potential impact of incidents.
Collaboration and Support Working with cross-functional teams (DevOps| SREs| etc.) to integrate data from various third-party tools (Splunk| ServiceNow| Slack| etc.) and ensure a cohesive| AI-driven operations platform.
Troubleshooting Diagnosing and resolving complex issues that arise during the integration and operation of the AIOps and Netcool systems in a hybrid cloud environment.