Network Monitoring Systems & AIOps Engineer

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.