Talent.com
DevOps Engineer

DevOps Engineer

AscenttPlano, Texas, United States
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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
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    Engineer • Plano, Texas, United States