Cloud Operations AI Engineer
Tasks
- Accelerate troubleshooting with AI tools
- Automate operational workflows
- Build CI/CD pipelines
- Enhance observability
- Execute health checks remediation and patching
- Improve availability scalability performance
- Improve system reliability
- Maintain runbooks and documentation
- Manage AWS hosted SaaS environments
- Manage containers deployments
- Perform root cause analysis
- Support incident response
- Support on call escalation and customer incidents
- Troubleshoot production issues
- Validate Responsible AI outputs
Perks/Benefits
- Continuous learning culture
- Flexible working hours
- Fully remote work
- Professional growth
- Supportive innovation focused environment
Skills/Tech-stack
AWS CloudTrail | AWS CloudWatch | AWS Identity | AWS Identity and Access Management | AWS Key Management Service | Access Management | Amazon Bedrock | Amazon Elastic Container Service | Amazon Elastic Container Service for Kubernetes | Amazon Elastic Kubernetes Service | Amazon Web Services | Ansible | Automation | CI/CD | Cause analysis | Docker | Elastic Container Service | Elastic Kubernetes Service | GitHub Copilot | Grafana | IIS | Identity and Access Management | Incident Management | Information services | Infrastructure as Code | Internet Information Services | Key Management Service | Kubernetes | Kubernetes Service | Load Balancing | Microsoft .NET | Microsoft SQL | Microsoft SQL Server | Monitoring | NET Framework | Networking | Observability | PagerDuty | Private Networking | Prometheus | Root Cause Analysis | Root cause | Route 53 | SQL Server | Scripting | Security | Terraform | VPC | Web Services | Windows server | “as-code”
Education
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