DevOps / Cloud Engineer

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 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