À propos
Job Description (Summary of Responsibilities): • 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.
Qualifications and Skills Required: • Extensive experience with AWS and Azure cloud platforms. • Proficiency in developing CI/CD pipelines using GitHub Actions. • Strong experience with Datadog for system monitoring, including implementation, configuration, and maintenance. • Demonstrated ability to create and maintain Datadog dashboards for performance visualization. • Proven expertise in setting up alerts and conducting incident response with Datadog. • Hands-on experience with container orchestration systems such as Kubernetes or AWS ECS. • Proficiency in Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation. • Familiarity with operational aspects of Large Language Models (LLMs) is highly desirable. • Strong scripting skills in Python, Bash, or similar languages. • In-depth knowledge of security standards and best practices. • Excellent documentation skills. • Proven ability to work collaboratively with development and AI teams. • Commitment to staying current with industry trends and emerging technologies
Compétences linguistiques
- English
Avis aux utilisateurs
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