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Manager Netdevops Jobs (NOW HIRING)

... NetDevOps practices and develop automation for provisioning, configuration management, and network remediation. • Design and deploy high‑resolution telemetry pipelines to monitor network health ...

... NetDevOps practices and develop automation for provisioning, configuration management, and network remediation. • Design and deploy high-resolution telemetry pipelines to monitor network health ...

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Manager Netdevops information

What is the difference between Manager Netdevops vs Network Engineer?

AspectManager NetdevopsNetwork Engineer
CertificationsCCNP, Cisco DevNet, AWS certificationsCCNA, CCNP, CompTIA Network+
Work EnvironmentLeadership roles overseeing teams and projectsHands-on network setup, troubleshooting, and maintenance
Industry UsageUsed in organizations with DevOps and network operations teamsCommon in IT and networking departments
Primary FocusManaging network automation, deployment, and operationsDesigning, implementing, and troubleshooting networks

The main difference between Manager Netdevops and Network Engineer lies in their focus and responsibilities. Manager Netdevops oversees teams and strategic automation projects, while Network Engineers focus on technical network setup and maintenance. Both roles require relevant certifications and are integral to modern IT and networking environments.

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Infographic showing various Manager Netdevops job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Hybrid job distribution.

Senior Principal Network Engineer

Graphcore

Austin, TX • On-site

Full-time

Re-posted 27 days ago


Job description

Job Summary:
Graphcore is one of the world’s leading innovators in Artificial Intelligence compute, developing hardware, software, and systems infrastructure for AI breakthroughs. The Senior Principal Network Engineer will design, deploy, and optimize next-generation AI data center networks, ensuring high performance for AI workloads.
Responsibilities:
• Assist in defining ultra‑high‑bandwidth, non‑blocking AI network fabrics (Clos spine‑leaf‑super‑spine architectures) for large‑scale distributed AI workloads.
• Optimize performance of lossless Ethernet fabrics using congestion control mechanisms such as PFC, ECN, and DCQCN to support RDMA/RoCEv2 communication.
• Lead initiatives to implement NetDevOps practices and develop automation for provisioning, configuration management, and network remediation.
• Design and deploy high‑resolution telemetry pipelines to monitor network health, detect microbursts, and analyze congestion patterns.
• Support modeling, deployment, configuration, and monitoring of data center network fabrics including scale‑out, scale‑up, and front‑end networks.
• Collaborate cross‑functionally with hardware engineers, AI researchers, and data center operations teams to co‑design high‑performance infrastructure.
• Provide technical leadership and mentorship to network engineers while establishing best practices and operational standards.
• Contribute to the long‑term networking strategy and roadmap for Graphcore’s AI infrastructure.
• Research and evaluate next‑generation high‑speed networking technologies and vendor solutions.
Qualifications:
Required:
• BS or MS or equivalent experience in Computer Science, Electrical Engineering, Network Engineering, or related technical discipline.
• 12+ years of progressive network engineering experience with at least 3 years in hyperscale, high-density, or HPC data center environments.
• Expert-level knowledge of data center routing and switching protocols including BGP, OSPF, and EVPN-VXLAN architectures.
• Strong operational understanding of RDMA networking technologies such as RoCEv2 or InfiniBand.
• Hands-on experience with modern merchant silicon networking platforms and NOS platforms such as Arista EOS, Cisco NX-OS, or SONiC.
• Experience deploying high-speed network technologies including 400G/800G optics and large-scale fabric architectures.
• Proficiency in automation and scripting languages such as Python, Go, Bash, or similar tools.
• Strong collaboration and communication skills across cross-functional engineering teams.
Preferred:
• Experience operating large-scale AI or GPU clusters.
• Familiarity with network telemetry frameworks and streaming analytics.
• Experience implementing NetDevOps workflows and infrastructure automation pipelines.
• Experience influencing vendor roadmaps or evaluating next-generation networking technologies.
Company:
Graphcore develops a microprocessor designed for AI and machine learning applications. It is a sub-organization of SoftBank. Founded in 2016, the company is headquartered in Bristol, GBR, with a team of 501-1000 employees. The company is currently Late Stage.