Machine Learning Engineer 3
Tasks
- Analyze resource usage patterns
- Apply Kubernetes security measures
- Architect Kubernetes clusters
- Collaborate on Kubernetes application integration
- Create automation scripts for Kubernetes provisioning
- Deploy and maintain Kubernetes clusters
- Document configurations and procedures
- Ensure compliance with security standards
- Forecast capacity requirements
- Identify performance bottlenecks
- Implement disaster recovery strategies
- Implement infrastructure-as-code
- Implement pod scheduling and scaling
- Investigate Kubernetes infrastructure issues
- Lead containerized application deployments
- Mentor junior team members
- Optimize performance for scalability
- Perform rolling deployments
- Resolve networking deployment issues
- Set up monitoring and alerting
- Update Kubernetes technology stack
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Alerting | CI/CD | Computer Architecture | Disaster Recovery | Go | Infrastructure as Code | Kubernetes | Linux | Monitoring | Networking | Python | Shell | “as-code”
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