
Optimizing Cloud Infrastructure for Maximum Efficiency
2 weeks ago
We are seeking a highly skilled Cloud Optimization Engineer to design and implement cutting-edge cloud optimization strategies.
- Develop predictive models for failure detection, incident management, and system health monitoring
- Automate operational workflows using machine learning and intelligent scripting
- Bachelor's or equivalent experience or Master's degree in Computer Science, Data Science, or related technical field
- Proven ability building and deploying ML models, with at least 2 years focused on infrastructure or cloud operations
- Solid knowledge of hybrid cloud technologies (AWS, GCP, OpenStack, Kubernetes)
- Experience with Python, Jupiter, and ML libraries such as PyTorch, TensorFlow, or scikit-learn
- Familiarity with cloud-native monitoring, logging, and automation tools (e.g., Terraform, Ansible, Prometheus, Splunk, App Dynamics)
- Design and implement AI Agents to optimize cloud resource allocation, auto-scaling, and performance tuning
- Collaborate with DevOps and SRE teams to deploy, monitor, and improve ML models in production environments
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