AI Ops Engineer II

Posted 1mo ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Assist in architecture and development of unified AI assistant for I&O engineers
Develop and register AI agents and MCP integrations for real-time operational tasks
Build backend workflows supporting discovery, platform sizing, and outage prevention
Develop data integrations connecting AI platform to ServiceNow, GCP, Zabbix, Dynatrace
Automate ingestion and contextualization of infrastructure data using Devin and Windsurf
Collaborate with observability and enterprise search teams to prevent LLM hallucinations
Deliver Help Desk automation and Incident Management use cases
Design AI capabilities for change windows, maintenance suppression, and self-healing
Establish AI observability metrics for confidence, token usage, and MTTR improvements

3-5 years total engineering experience for enterprise deployment
1-2 years hands-on experience with modern LLMs, multi-agent frameworks, and AI coding assistants
2-3 years foundational backend software engineering in Python
Experience with API integration, data engineering, or traditional AIOps
Deep understanding of LLMs, prompt engineering, and RAG
Hands-on experience with AI coding assistants like Devin and Windsurf
Hands-on expertise with agentic frameworks and MCP
Experience integrating with ServiceNow, Dynatrace, Zabbix, and GCP

Skills