Cloud Infrastructure Management: Design, implement, and manage cloud-based infrastructure on AWS and Azure, ensuring optimal scalability, performance, and security.
CI/CD Pipeline Development: Develop and maintain CI/CD pipelines using GitHub Actions for automated code deployments and testing.
System Monitoring and Incident Management
Implement and configure Datadog for comprehensive system monitoring.
Develop and maintain Datadog dashboards to visualize system performance and metrics.
Set up proactive alerts in Datadog to detect and respond to incidents swiftly, ensuring high system reliability and uptime.
Conduct root cause analysis of incidents and implement corrective actions using Datadog insights.
Collaboration with AI Teams: Work closely with AI teams to support the operational aspects of LLMs, including deployment strategies and performance tuning
Infrastructure as Code (IaC): Implement IaC using tools like Terraform or AWS CloudFormation to automate infrastructure provisioning and management.
Container Orchestration:
Manage container orchestration systems such as Kubernetes or AWS ECS.
Operational Support for LLMs: Provide operational support for LLMs, focusing on performance optimization and reliability.
Scripting and Automation: Utilize scripting languages such as Python and Bash for automation and task management
Security and Compliance: Ensure compliance with security standards and best practices, implementing robust security measures.
Documentation: Document system configurations, procedures, and best practices for internal and external stakeholders.
DevOps Collaboration: Work with development teams to optimize deployment workflows, introduce best practices for DevOps, and improve overall efficiency.
Technology and Industry Awareness: Stay up-to-date with emerging technologies and industry trends to suggest improvements and upgrades.
Requirements
Qualifications And Skills Required
Extensive experience with AWS and A