DevOps Engineer

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