Posted:1 day ago|
Platform:
Work from Office
Full Time
- Design, deploy, and manage scalable, reliable, and secure Azure cloud infrastructure to support Generative AI workloads.
- Implement monitoring, logging, and alerting solutions to ensure the health and performance of AI applications.
- Optimize cloud resource usage and costs while ensuring high performance and availability.
- Work closely with Data Scientists and Machine Learning Engineers to understand their requirements and provide the necessary infrastructure and tools.
- Automate repetitive tasks, configuration management, and infrastructure provisioning using tools like Terraform, Ansible, and Azure Resource Manager (ARM).
- Utilize APM (Application Performance Monitoring) to identify and resolve performance bottlenecks Maintain comprehensive documentation for infrastructure, processes, and workflows.
- Extensive knowledge of Azure services: Kubernetes, Azure App Service, Azure API management(APIM), Application gateway, AAD, GitHub Action, Istio, Datadog, Proficiency in containerization and orchestration tools such as (Jenkins, GitLab CI/CD, Azure DevOps)
- Knowledge of API management platforms like APIM for API governance, security, and lifecycle management.
- Expertise in monitoring and observability tools like Datadog, loki, grafana, prometheus for comprehensive monitoring, logging, and alerting solutions. Good scripting skills (Python, Bash, PowerShell).
- Experience with infrastructure as code (Terraform, ARM Templates).
- Experience in optimizing cloud resource usage and costs utilizing insights from Azure cost and monitor metrics.
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