System Engineer – Lab Management & System AdministrationCisco Silicon One Labs are growing rapidly, requiring an experienced System Engineer to manage lab operations, hardware infrastructure, and automation. You will oversee large-scale evaluation boards, switches, servers, and storage systems, working across multiple Linux-based operating systems, BSPs (Board Support Packages), and boot mechanisms. Your role involves consolidating lab environments, improving automation, ensuring system stability, and driving technological innovation.
Your Impact- Oversee administration of large-scale lab environments, ensuring efficiency, reliability, and operational continuity.
- Consolidate operating systems, BSPs, boot mechanisms, and implement automation to streamline workflows.
- Manage PXE servers and boot mechanisms, optimizing performance and robustness across lab hardware.
- Collaborate with internal/external vendors and developers to move lab equipment to modern operating systems.
- Implement containerization on evaluation boards to enhance testing and deployment techniques.
- Optimize lab storage solutions for long-term sustainability, scalability, and performance.
- Implement security best practices across lab operations, boot mechanisms, network infrastructure, and configurations.
- Troubleshoot hardware/software failures, maintain documentation, and ensure lab infrastructure is fully operational.
Minimum Qualifications- Strong Linux OS fundamentals and filesystem structure knowledge.
- Hands-on expertise in networking and storage management.
- Scripting proficiency in Bash, Python, or similar languages for automation.
- Experience working with virtualization platforms (VMware, Nutanix).
- Ability to work across multiple hardware configurations, including evaluation boards, traffic generators, and lab setups.
- Proactive problem-solving mindset with excellent troubleshooting abilities.
Preferred Qualifications- Experience designing and implementing on-premise infrastructure, with a strong focus on automation, scalability, and using tools like Puppet, Chef, and Ansible.
- Proficiency in monitoring tools (Zabbix, Prometheus, Grafana) to ensure system reliability and optimize performance.
- Knowledge of containerization platforms (Docker, Podman, Kubernetes) for efficient deployment and management.
- Expertise in CI/CD practices and implementing infrastructure using IaC (Infrastructure as Code) principles.
- Strong debugging and optimization skills for hardware/software interactions, improving overall system efficiency.
- Experience managing large-scale storage environments, developing data retention strategies, and troubleshooting IT issues in cross-functional teams.