Sr. Systems Engineer - AI
Kansas City, KS, United States
USD 141K-209K (estimate) Senior-level Full Time
Tasks
- Build and maintain CI/CD pipelines
- Define service health and performance metrics
- Deploy AI ML solutions to production environments
- Enforce site reliability engineering practices
- Ensure security compliance and data protection
- Integrate AI services into enterprise ecosystems
- Lead resolution of major incidents
- Maintain runbooks and support procedures
- Manage operational lifecycle with versioning and controlled releases
- Monitor logging and alerting
- Operate AI enabled platforms
- Optimize platform performance resource utilization and cost
- Perform incident triage and root cause analysis
Perks/Benefits
- N/A
Skills/Tech-stack
Alerting | Artificial Intelligence | Auto Scaling | Automation | Backup and Recovery | CI/CD | Capacity Planning | Cause analysis | Cloud Computing | Data Quality | Data quality monitoring | Failover | Fault Tolerance | High Availability | Hybrid Cloud | IT Operations | IT Operations Management | Infrastructure as Code | Logging | MLOps | Machine Learning | Monitoring | Operations Management | Performance Tuning | Quality monitoring | Redundancy | Reliability Engineering | Root Cause Analysis | Root cause | Scripting | Site Reliability | Site Reliability Engineering | “as-code”
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