Position Overview

We are looking for an engineer to lead and improve our network monitoring environment. This person will bring deep hands-on experience with Zabbix and a strong track record of using automation and AI tools to improve operational efficiency. The role focuses on making monitoring smarter and more proactive by reducing alert noise, improving root-cause identification, and helping operations teams respond faster and more effectively.

Key Responsibilities

• Own and improve the Zabbix monitoring platform across a mid, distributed environment.

• Build AI-assisted operational workflows that connect monitoring data with tools such as Anthropic Claude.

• Reduce alert fatigue by improving event correlation and filtering duplicate or downstream alerts.

• Support faster trouble-shooting by helping automate root-cause analysis and recommended next steps.

• Create automation toolsin Python, Bash, or Ansible to streamline monitoring and response workflows.

• Develop dashboards and reporting for both technical teams and leadership stakeholders.

• Produce executive-level SLO reporting that clearly communicates service health and performance.

Preferred Qualifications

• 5+ years of experience working with enterprise-scale Zabbix environments.

• Strong experience with automation and scripting, especially in Python.

• Hands-on experience integrating AI or LLM tools into operational or infrastructure workflows.

• Knowledge of data privacy and sanitization practices when sending operational data to external services.

• Strong networking fundamentals, including protocols such as SNMP, Syslog, NetFlow, gRPC, and SSH.

• Preferred: Zabbix certification and experience in large-scale infrastructure operations.