Location: Plano, Tx

Pay Range: $50/hr-$60/hr 

Responsbilities:

• Troubleshoot and support Linux-based network issues for the Quartz application. 
• Collaborate with development teams to optimize application performance and integration. 
• Manage infrastructure for Generative AI (Gen AI) initiatives. 
• Monitor and maintain application infrastructure for high availability. 
• Automate testing, deployment, and processes using tools like Selenium. 
• Assist with application migrations and system updates. 
• Support Dynatrace for performance monitoring and issue resolution. 
• Use Splunk for proactive log analysis and monitoring. 
• Implement Infrastructure as Code (IaC) for automation and deployment. 

Must Have:

• 7+ years as a Linux Engineer supporting large-scale, high-performance applications. 
• Expertise in Python scripting for automation, troubleshooting, and system integration. 
• Hands-on experience with Selenium for test automation and CI/CD pipeline integration. 
• Proven experience in application migration planning and execution. 
• Proficiency with Dynatrace for performance monitoring and troubleshooting. 
• Strong experience with Ansible and Infrastructure as Code (IaC) principles. 
• Familiarity with Splunk for log management and real-time monitoring. 

NiceToHave:

• Familiarity with cloud infrastructure and containerization technologies (e.g., Kubernetes, Docker). 
• Experience with DevOps practices and CI/CD pipelines. 
• Ability to work in a fast-paced, collaborative environment with cross-functional teams.