Principal Engineer, Software Defined Networking
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 5d ago
The date the source published, not the day we noticed it (2026-10-29). Last seen at its source 3h ago.
We have tracked this listing since 29 Oct 2026 (4 days). The employer's own board has carried it every time we have read it, most recently 3 hours ago.
Is it remote?
UK, Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
United Kingdom
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay £92.7k–141.5k/yr
Middle 50% of 53 listings that do state pay — Engineering · Senior · United Kingdom · GBP/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Workday employer's own board first seen 4d ago · last seen 3h ago
The listing
We are looking for a Principal System Software Engineer, Software Defined Networking to design, build, and operate highly performant and scalable SDN solutions for NVIDIA's AI Clouds hosting GPU-accelerated workloads — including hyperscale multi-node training, inference, cloud gaming, and cloud functions. This role spans the full lifecycle of our SDN stack — from designing and developing new control and data plane software to ensuring operational excellence in production through reliability engineering, CI/CD, observability, and incident response.
What you'll be doing:
- Design and develop next-generation multi-tenant cloud SDN control and data plane software (OVS, OVN, OpenFlow)
- Build Infrastructure-as-a-Service virtual network orchestration and services using gRPC and REST to support tenant workload security and performance SLAs for BMaaS, VMaaS, and Kubernetes
- Drive upstream contributions to OVN-Kubernetes and related open-source projects
- Develop software for network observability — monitoring, telemetry, intelligent metering, and performance analysis
- Operate and support OVS-OVN based SDN solutions in large-scale NVIDIA AI Cloud environments
- Own end-to-end observability for the SDN stack — build and maintain monitoring, alerting, distributed tracing, and dashboarding to ensure real-time insight into network health, performance, and tenant SLAs
- Design, enhance, and maintain CI/CD pipelines (GitLab) across Linux host networking, OVS, OVN, and Kubernetes CNIs
- Implement GitOps approaches or related experience for secure, seamless integration with cloud infrastructure
- Collaborate with SRE, DevOps, and network engineering teams on production readiness and operational tooling
What we need to see:
- BS/MS in Computer Science or related technical field, or a comparable blend of education and relevant experience
- 15+ years of proven experience in software development for large-scale distributed environments
- Expert-level knowledge of OVN, OVS, OpenFlow, and modern network protocols
- Strong programming skills in C and Go; advanced scripting in Bash and Python
- Deep knowledge of Kubernetes, practical experience deploying and supporting CNIs (OVN-Kubernetes)
- Hands-on experience with Infrastructure-as-Code and deployment tools (Ansible, Terraform, ArgoCD, Flux)
- Experience designing and operating complex, multi-stage CI/CD pipelines
- Hands-on experience developing secure, high-performance services using gRPC and REST with TLS and strong authentication
- Strong knowledge of datacenter routing, switching, and Linux host/VM networking
Ways to stand out from the crowd:
- Contributions to open-source projects (especially OVS, OVN, OVN-Kubernetes, or other Kubernetes networking projects)
- Experience with hardware acceleration (GPU, DPU or equivalent experience) for networking
- Practical experience with major cloud providers (AWS, Azure, GCP) and hybrid/multi-cloud deployments
- SRE/DevOps top-level expertise — on-call, incident management, operations focused on service reliability targets, production ownership
- Experience with observability platforms and tools (Prometheus, Grafana, Jaeger, OpenTelemetry, ELK)