Senior AI Platform Operations Engineer
Tasks
- Align with regulatory requirements
- Automate operations
- Conduct vulnerability management
- Detect outages
- Embed monitoring automation and security into AI ML workflows
- Enforce access control
- Ensure platform resilience
- Implement observability
- Lead incident response
- Manage cloud security operations
- Manage identity and access management
- Monitor platform availability
- Operate SIEM and SOAR
- Optimize Azure AI performance
- Perform root cause analysis
- Plan disaster recovery
- Support audits and compliance
Perks/Benefits
- N/A
Skills/Tech-stack
Access Control | Access Management | Application Insights | Azure AI | Azure Kubernetes | Azure Kubernetes Service | Azure Monitor | Azure Resource | Azure Resource Manager | Bicep | CIS Controls | Detection and Response | Disaster Recovery | Endpoint Detection and Response | Endpoint detection | Firewall | GPU Virtual Machines | ISO 27001 | Identity and Access Management | Identity and access | Incident Management | Infrastructure as Code | Kubernetes | Kubernetes Service | Log Analytics | Machine Learning | Machine Learning Pipelines | Microsoft Azure | Model Hosting | NIST | OpenShift | Powershell | Python | Reliability Engineering | Resource manager | SIEM | SOAR | Security operations | Site Reliability | Site Reliability Engineering | Terraform | Virtual Machines | Vulnerability Management | “as-code”
Education
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