Live opening · Posted 9 days ago
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Description supplied by the original job listing.
We are looking for a Scientific Research Networking Associate to support advanced research computing, networking, storage, and Kubernetes infrastructure for scientific computing environments.
Key Responsibilities
Manage and support Linux/Unix-based computing clusters, including OS/software installation, updates, monitoring, security, and troubleshooting.
Maintain Kubernetes clusters and storage infrastructure.
Configure, test, and troubleshoot TCP/IP networking, routing, switching, BGP, and OSPF.
Analyze network performance, identify bottlenecks, and improve scalability and resilience.
Work with tools such as iperf3, tcpdump, Wireshark, netcat, and perfSONAR.
Support Software-Defined Networking (SDN) and container networking environments.
Implement networking automation and simulation environments.
Work with Docker, Kubernetes, Ansible, Proxmox, and virtualization technologies.
Use Python and shell scripting for automation and infrastructure management.
Support network monitoring using Grafana and Prometheus.
Collaborate with research, infrastructure, security, and networking teams across institutions.
Contribute to technical documentation, infrastructure development, and research networking initiatives.
Required Qualifications
Bachelor's degree in Computer Science, Networking, IT, Engineering, or a related field, or equivalent experience.
Strong understanding of TCP/IP, OSI layers, networking protocols, routing, and switching.
Hands-on experience with BGP and OSPF.
Strong Linux/Unix administration experience.
Experience managing large-scale computing, networking, or storage infrastructure.
Knowledge of SDN and container networking.
Experience with Kubernetes and Docker.
Hands-on experience with network troubleshooting and packet-analysis tools.
Knowledge of GitHub/GitLab.
Strong communication and technical documentation skills.
Preferred Skills
Experience with Arista, Cisco, Dell, P4, or SONiC.
Experience with Ansible and Proxmox.
Knowledge of network/storage virtualization.
Experience with Grafana and Prometheus.
Python and shell scripting.
Production network operations experience.
Experience with research/HPC networking environments and wide-area network performance.
Work arrangement
No
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