7+ years of professional experience, ideally within an enterprise environment supporting high volumes of tickets and incidences.
Must have experience as an engineer resolving T1, T2, and T3 tickets
Platform Support specifically within Linux is primary focus
Scripting knowledge is helpful: Shell Scripting, Python Scripting, PowerShell Scripting
Tracking tickets within JIRA and updating completion/documentation as needed
Kubernetes experience
Mentorship/training/lead experience
Nice to Have Skills:
Cloud Native Environments
Telecom experience
Education/Certification Requirements:
Associates degree or equivalent
Day to day:
The ideal candidate will have a strong background in Linux engineering, Kubernetes management, and automation through scripting. You will be responsible for maintaining and optimizing our infrastructure, ensuring high availability, and promptly addressing priority tickets.
Key Responsibilities:
Linux Server Administration:
Manage, monitor, and optimize Linux servers to ensure high performance and reliability.
Perform regular system updates, patches, and security audits.
Troubleshoot and resolve server-related issues effectively.
Kubernetes Management:
Deploy, manage, and scale containerized applications using Kubernetes.
Configure and maintain Kubernetes clusters, ensuring optimal resource allocation and load balancing.
Monitor the health of Kubernetes environments and implement best practices for security and efficiency.
Automation and Scripting:
Develop and maintain scripts for automation of repetitive tasks (e.g., deployment, monitoring, backups).
Utilize tools like Bash, Python, or other scripting languages to enhance operational efficiency.
Implement Infrastructure as Code (IaC) practices using tools such as Terraform or Ansible.
Incident Management:
Respond to and prioritize support tickets related to infrastructure, application deployment, and operational issues.
Collaborate with teams to resolve issues and implement improvements.
Document incidents and resolutions to improve knowledge sharing and reduce future occurrences.
Monitoring and Performance Tuning:
Set up and maintain monitoring solutions to ensure system performance and uptime.
Analyze system logs and metrics to identify trends and potential issues.
Conduct performance tuning of both servers and Kubernetes clusters for optimal resource utilization.
Collaboration and Communication:
Work closely with cross-functional teams to ensure seamless deployment and operation of applications.
Participate in team meetings, sharing insights on system performance and improvement opportunities.
Provide training and support to team members on DevOps best practices.
Continuous Improvement:
Stay up-to-date with emerging technologies and industry trends in DevOps, cloud computing, and container orchestration.
Propose and implement improvements to processes, tools, and workflows to enhance team efficiency and effectiveness