AI Automation Infrastructure Engineer
Tasks
- Build AI ML powered automation for voice network and compute platforms
- Build APIs and agent workflows for observability CMDB and ticketing platforms
- Define guardrails permissions and validation layers for safe production automation
- Design and deploy MCP style servers
- Develop skills and tools for workflow automation
- Implement Infrastructure as Code using terraform and Ansible
- Implement anomaly detection forecasting root cause analysis and self healing
- Integrate automation with SIP SBC routers switches load balancers VMware Kubernetes and cloud compute platforms
- Partner with operations teams to eliminate manual work and improve incident response
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | APIs | Agent Frameworks | Anomaly Detection | Ansible | Arista Networks | CI/CD | CMDB | Cause analysis | Cloud Computing | Containers | Event Streaming | F5 | Forecasting | GitOps | Grafana | Infrastructure as Code | Kafka | Kubernetes | LLM orchestration | Language Models | Large Language Models | Machine Learning | Model Context Protocol | Palo Alto | Palo Alto Networks | Prometheus | Python | RBAC | Root Cause Analysis | Root cause | Routing | SBC | SIP | Self-healing | ServiceNow | Switching | Terraform | VMware | Workflow automation | “as-code”
Education
N/A
Roles
AI | AI Engineer | Automation Engineer | Engineer | Infrastructure | Infrastructure Engineer
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