Private Cloud HPC Network Engineer

TALENT Software Services; Austin (TX); On-site; USD 120,000 - 170,000; Full time

Job summary

TALENT Software Services in Austin is seeking a Private Cloud HPC Network Engineer to join a greenfield on-prem OpenStack platform. You will design, deploy and operate a high-performance network landscape that underpins HPC workloads, collaborating with compute, storage and platform teams to deliver a scalable, automated cloud fabric.

The role emphasizes leaf-spine architectures, BGP, EVPN, VXLAN, and fast interconnects (RoCE/InfiniBand).

Qualifications

• Experience designing and supporting high-performance compute environments.
• Hands-on with RoCE, RDMA or Infiniband in Cisco NX-OS/Arista EOS.
• Practical knowledge of OpenStack network services and API-driven automation.
• Strong HPC network observability and performance tuning.

Responsibilities

• Design and evolve network architecture for large-scale Private Cloud OpenStack and HPC environments.
• Develop scalable Leaf-Spine architectures using BGP, EVPN, VXLAN and ECMP.
• Plan networking for compute, storage and latency-sensitive workloads; assess SR-IOV, DPUs.
• Integrate physical network with OpenStack Neutron, OVN and ML2; define VM/bare-metal/Kubernetes networking.
• Lead network security architecture and cross-domain collaboration across compute, storage and HPC apps.

Skills

HPC networking

OpenStack networking

BGP

EVPN

VXLAN

Leaf-Spine

RoCE

RDMA

Infiniband

Kubernetes networking

Linux

Python

Ansible

Terraform

Tools

Python

Ansible

Terraform

Job description

This is a fantastic opportunity to join a newly formed Private Cloud team. We are responsible for the design , deployment and operations of a new greenfield on-prem private cloud based on OpenStack.

The Private Cloud HPC Network Engineer will help design, build and evolve the high-performance network architecture underpinning our Private Cloud platform that will be used for HPC workloads.

The role combines deep data-centre and HPC networking expertise with modern cloud networking, software-defined infrastructure and automation. As part of the Private Cloud team, you will collaborate closely with compute, storage, platform engineering teams to deliver a scalable, resilient and highly automated cloud infrastructure.

Responsibilities

• Design and evolve network architecture, standards and patterns for large-scale Private Cloud Openstack and HPC environments. Develop scalable Leaf-Spine architectures using technologies including BGP, EVPN, VXLAN and ECMP.
• Design networking for high-performance compute, storage and latency-sensitive engineering workloads. Evaluate technologies including SR-IOV, SmartNICs, DPUs and high-performance Ethernet.
• Integrate physical network infrastructure with OpenStack networking services including Neutron, OVN and ML2. Define network architecture for virtual machines, bare-metal workloads and Kubernetes platforms.
• Perform performance analysis, network optimisation and lead technical evaluation and benchmarking of networking technologies and vendors.
• Lead network security architecture and threat modelling while also leading complex cross-domain issues spanning compute, storage, networking and HPC applications.

Required Skills and Experience

• Strong experience designing and supporting high-performance or large-scale compute environments using RoCE, RDMA or Infiniband in a Cisco NX-OS and/or Arista EOS .
• Deep understanding of BGP routing and network architectures, Leaf-Spine network, Layer 2 and Layer 3, ECMP, EVPN and VXLAN and network resilience. With exposure to newer technologies such as SmartNICs, DPUs & NVMe-over-Fabrics.
• Practical experience of OpenStack network services and developing integrated network automation and API driven interfaces.
• Strong HPC network observability, troubleshooting and performance tuning skills.

\"Nice To Have” Skills and Experience:

• Strong Linux knowledge and Kubernetes networking.
• Exposure to SR-IOV and DPDK.
• Demonstrable hands-on Python, Ansible and Terraform experience.
• Using SRE principles in the creation of SLI/SLO and error budgets