DevOps Engineer
US TX IT Infrastr and Ops 723, United States
USD 56K-56K (estimate) Mid-level Full Time
Tasks
- Automate environment provisioning and deployments
- Build DevOps platforms
- Build and manage workflow automation using n8n
- Create runbooks and deployment documentation
- Deploy and manage containerized applications
- Deploy and optimize AI/ML workloads
- Deploy and support Python and Java applications
- Develop infrastructure as code
- Implement CI/CD pipelines
- Implement MLOps practices
- Improve observability and alerting
- Maintain highly available production environments
- Manage GPU infrastructure for AI training and inference
- Monitor system health performance capacity and availability
- Operationalize machine learning models
- Perform AIOps monitoring anomaly detection and incident response
- Perform root cause analysis and preventive actions
- Provide day-to-day production support
- Set DevOps standards and operational procedures
Perks/Benefits
- N/A
Skills/Tech-stack
AIOps | Alerting | Anomaly Detection | CI/CD | Configuration Management | Containerization | Docker | GPU Computing | Incident Management | Infrastructure as Code | Java | Kubernetes | LLM | Linux | MLOps | Machine Learning | Microservices | Model Deployment | Model Monitoring | Observability | Python | Retrieval-Augmented Generation | “as-code”
Education
N/A
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