- 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