DevOps & Cloud Engineer

Job Description

• 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

• Extensive experience with AWS and Azure cloud platforms.
• 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 with 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.
• Proven ability to work collaboratively with development and AI teams.
• Commitment to staying current with industry trends and emerging technologies.