Senior Network Engineer (Py)
Designs and deploys high-performance network architectures using Spine-and-Leaf, Arista EOS/CloudVision, and F5 BIG-IP. Automates operations with Python, modernizes legacy networks for cloud, and leads technical efforts requiring 10+ years experience and expertise in BGP, OSPF, VxLAN, EVPN.
About the job
Duties & Responsibilities
- Architect and Deploy: Design and implement cutting-edge, high-performance network architectures, with a focus on Spine-and-Leaf designs.
- Master Arista: Leverage your deep knowledge of Arista's Extensible Operating System (EOS) and CloudVision platform.
- Manage F5: Configure and maintain F5 BIG-IP platforms, including virtual servers, pools, and iRules.
- Automate Everything: Use Python and other Linux tools to automate network management and streamline operations.
- Lead the Way: Act as a technical leader, mentoring team members, handling complex issues, and serving as a subject matter expert.
- Modernize and Support: Evolve our legacy networks for cloud-native environments and provide expert support to resolve complex network issues.
- Load Balanced Application Delivery: Implement load balancing strategies (e.g., round robin, least connections) to optimize application performance and ensure high availability.
- High Availability: Setting up and manage Arista and F5 device clusters in active/standby or active/active configurations to provide failover capabilities.
- AAA (Authentication, Authorization, and Accounting): Strong knowledge of AAA frameworks for network access control. Hands-on experience configuring and managing TACACS+, Radius for device administration security in Cisco ICE.
- Network Hardware Lifecycle Management: Responsible for all network device patching, including security fixes and OS updates. Track device vendor support timelines and manage end of life transitions to updated hardware models.
- Network Monitoring: Monitor network traffic and alerts for proactive management and capacity planning. Provide up to date network metrics to all technical teams for better product development and troubleshooting.
Required Qualifications
- 10+ years of hands-on experience in network engineering.
- A CCIE or similar advanced networking certification is a plus.
- Strong experience with Arista EOS/CloudVision and F5 BIG-IP.
- Expertise in protocols like BGP, OSPF, VxLAN, and EVPN.
- Proficiency in Python scripting and network automation.
- Excellent communication skills and the ability to work independently.
Compensation
Targeted salary range: $110,000 - $160,000 commensurate with experience and location.
Skills
Arista Eos, Cloudvision, F5 Big-Ip, BGP, Ospf, Vxlan, Evpn, Python, Tacacs+, Radius
Similar jobs
DevOps / SRE jobs
Shield AI
Seattle, WADesigns and supports physical IT infrastructure across offices, labs, manufacturing facilities, and data centers, including racks, cabling, power, cooling, documentation, and capacity planning. Requires 5+ years of physical infrastructure engineering experience and strong cross-functional project execution.
Bloomerang
United States
Senior Site Reliability Engineer responsible for production troubleshooting, incident response, observability, SLOs, automation, and permanent reliability improvements. Requires strong software engineering, SQL, debugging, cloud-application troubleshooting, and cross-functional collaboration skills.
MongoDB
Palo Alto, CASenior network engineer responsible for designing, operating, and securing MongoDB’s global network and VPN infrastructure. The role requires 6+ years of networking or systems engineering experience, strong enterprise networking expertise, automation skills, and the ability to lead complex infrastructure initiatives.
PrizePicks
United States
Senior Site Reliability Engineer responsible for designing and operating reliable, scalable production infrastructure, leading incident response, and improving observability and resilience. Requires 5+ years of reliability-focused engineering experience and expertise across cloud, infrastructure as code, Kubernetes, monitoring, and application development.
Axle
Rockville, MD
Leads end-to-end infrastructure for a scientific imaging platform, covering Linux administration, GPU/HPC systems, storage, upgrades, and vendor coordination. The role supports AI-enabled imaging workflows and requires extensive production Linux, Image Artist, GPU, HPC, and enterprise storage experience.