Skip to main content
Tallo logoTallo logo
Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

Apply Offsite

Lead AIOps Engineer (Azure Cloud)

Job

Maven Companies Inc

Fremont, CA (In Person)

Full-Time

Posted 4 days ago (Updated 22 hours ago) • Actively hiring

Expires 7/23/2026

Review key factors to help you decide if the role fits your goals.
How is this calculated?
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
78
out of 100
Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

Job Description

Lead AIOps Engineer (Azure Cloud) at Maven Companies Inc Lead AIOps Engineer (Azure Cloud) at Maven Companies Inc in Fremont, California Posted in 1 day ago.
Type:
full-time
Job Description:
The ideal candidate is a Lead AIOps Engineer with deep Azure expertise and a strong track record of implementing AI-powered operational solutions. They should have hands-on experience building intelligent monitoring, alerting, automation, chatbot, and LLM-based platforms within Azure ecosystems, while also possessing enough SRE and operational knowledge to improve reliability through AI-driven approaches. This role is best suited for someone who can bridge cloud operations, AI/ML technologies, and enterprise-scale automation initiatives. Position Summary We are seeking a highly skilled Lead AIOps Engineer to drive the design, implementation, and optimization of AI-powered operational solutions within a fully Azure-based cloud environment. This role is ideal for a professional who combines strong Azure Cloud expertise with hands-on experience in AIOps, AI/ML technologies, intelligent automation, and modern observability platforms. The successful candidate will lead initiatives focused on leveraging AI to enhance monitoring, alert management, incident response, operational efficiency, and predictive analytics. While some Site Reliability Engineering (SRE) experience is valuable, this position is primarily focused on AI-driven operations and automation rather than traditional SRE responsibilities. Required Qualifications 8+ years of experience in Cloud Operations, Platform Engineering, AIOps, DevOps, or related disciplines. Strong hands-on experience with Microsoft Azure Cloud (mandatory). Proven experience implementing and managing AIOps solutions in enterprise Azure environments. Experience with monitoring, observability, alert management, event correlation, and operational analytics.
Hands-on experience with:
Large Language Models (LLMs) ChatGPT/OpenAI or Azure OpenAI Services Retrieval-Augmented Generation (RAG) LangChain or similar AI frameworks AI chatbot development, configuration, and deployment AI-driven automation and operational workflows Experience with AI/MLOps practices, model deployment, and lifecycle management. Strong scripting and automation skills using Python, PowerShell, or similar languages. Familiarity with CI/CD pipelines and Infrastructure as Code (IaC).