Verified Job
Hardware / Network Engineer
Junior Network Engineer SONiC Open Networking Software WFH (Jaipur)
Hardware / Network Engineer
#760172
Remote / WFH
Qubrid AI
Job Description
Read everything carefully. The requirements and screening questions are critical and if not answered correctly and satisfactorily will result in auto-rejection and waste of your time.
- Work from Home.
- This is a full time role. If you plan to do 2 or more jobs at the same time or want to do this part-time, that won't work for us. In that case please do not apply as it will get auto-rejected
- Note - this job requires working late night India time until 4AM to overlap with USA working times. Do not apply if this timing doesn't work
- Salary depends on experience and current verifiable (paychecks) compensation.
- Junior candidates with 2 years experience are suitable
Network Engineer SONiC (Software for Open Networking in the Cloud)
About Qubrid AI
Qubrid AI is building the next generation AI infrastructure platform combining GPU cloud, inference APIs, AI orchestration software, and enterprise AI infrastructure. We enable organizations to deploy AI workloads across cloud, hybrid, and on-prem environments powered by high-performance GPU clusters and open architectures.
We are seeking a hands-on Network Engineer with expertise in SONiC (Software for Open Networking in the Cloud) to design, deploy, automate, and operate high-performance data center networks supporting AI and GPU infrastructure.
Role Overview
The Network Engineer will be responsible for architecting and managing modern data center networking environments built on SONiC-based switches. The ideal candidate has experience with leaf-spine architectures, EVPN/VXLAN fabrics, BGP, automation, and high-performance Ethernet networks used for AI clusters and cloud infrastructure.
Responsibilities
- Deploy, configure, and operate SONiC-based switches and network fabrics.
- Design and maintain scalable leaf-spine architectures for AI and GPU clusters.
- Configure and troubleshoot:
- BGP
- EVPN/VXLAN
- ECMP
- VLANs and LAGs
- MLAG/MC-LAG
- QoS and traffic engineering
- Perform network provisioning, upgrades, and maintenance of SONiC environments.
- Monitor and optimize network performance for east-west traffic and high-throughput AI workloads.
- Support RoCEv2 networking and lossless Ethernet configurations for GPU clusters.
- Automate network operations using Ansible, Python, and APIs.
- Troubleshoot routing, switching, and latency issues across data center environments.
- Collaborate with Linux, Kubernetes, and infrastructure teams to support AI platforms.
- Develop operational procedures and maintain network documentation.
- Participate in customer deployments and provide remote support when needed.
Required Qualifications
- 2-3+ years of experience in data center networking.
- Hands-on experience with SONiC (Software for Open Networking in the Cloud).
- Strong understanding of:
- Layer 2 and Layer 3 networking
- BGP and EVPN
- VXLAN overlays
- ECMP
- Spine-leaf architectures
- High availability and redundancy
- Experience with white-box switches from vendors such as Edgecore, Celestica, Dell, or Supermicro.
- Solid understanding of Ethernet switching and routing protocols.
- Experience with Linux networking fundamentals.
- Familiarity with packet analysis tools and troubleshooting methodologies.
- Strong scripting or automation skills using Python, Bash, or Ansible.
- Ability to work independently in a fast-paced startup environment.
Preferred Qualifications
- Experience with AI and GPU clusters utilizing NVIDIA Spectrum or ConnectX networking.
- Familiarity with RoCEv2, PFC, ECN, and congestion management.
- Experience with Cumulus Linux, Arista EOS, Cisco NX-OS, or Juniper.
- Knowledge of Kubernetes and container networking.
- Experience with Mellanox/NVIDIA networking solutions.
- Familiarity with telemetry and observability tools such as Prometheus, Grafana, and NetBox.
- Experience with cloud networking and hybrid infrastructure.
- Understanding of RDMA and high-performance computing environments.
Nice to Have
- CCNP, CCIE, JNCIP, or equivalent networking certifications.
- Experience operating networks for AI factories, HPC clusters, or cloud providers.
- Contributions to SONiC, FRR, or open networking communities.
- Familiarity with network automation frameworks and GitOps workflows.
Why Join Qubrid AI
At Qubrid AI, you'll help build the networking backbone powering next-generation AI infrastructure. You'll work with cutting-edge GPU clusters, open networking technologies, and hyperscale-inspired architectures that deliver high-performance AI and inference at scale.
- If you're passionate about open networking, automation, and AI infrastructure, we'd love to hear from you. Read everything carefully. The requirements and screening questions are critical and if not answered correctly and satisfactorily will result in auto-rejection and waste of your time.
- Work from Home.
- This is a full time role. If you plan to do 2 or more jobs at the same time or want to do this part-time, that won't work for us. In that case p
- Work from Home.
- This is a full time role. If you plan to do 2 or more jobs at the same time or want to do this part-time, that won't work for us. In that case please do not apply as it will get auto-rejected
- Note - this job requires working late night India time until 4AM to overlap with USA working times. Do not apply if this timing doesn't work
- Salary depends on experience and current verifiable (paychecks) compensation.
- Junior candidates with 2 years experience are suitable
Network Engineer SONiC (Software for Open Networking in the Cloud)
About Qubrid AI
Qubrid AI is building the next generation AI infrastructure platform combining GPU cloud, inference APIs, AI orchestration software, and enterprise AI infrastructure. We enable organizations to deploy AI workloads across cloud, hybrid, and on-prem environments powered by high-performance GPU clusters and open architectures.
We are seeking a hands-on Network Engineer with expertise in SONiC (Software for Open Networking in the Cloud) to design, deploy, automate, and operate high-performance data center networks supporting AI and GPU infrastructure.
Role Overview
The Network Engineer will be responsible for architecting and managing modern data center networking environments built on SONiC-based switches. The ideal candidate has experience with leaf-spine architectures, EVPN/VXLAN fabrics, BGP, automation, and high-performance Ethernet networks used for AI clusters and cloud infrastructure.
Responsibilities
- Deploy, configure, and operate SONiC-based switches and network fabrics.
- Design and maintain scalable leaf-spine architectures for AI and GPU clusters.
- Configure and troubleshoot:
- BGP
- EVPN/VXLAN
- ECMP
- VLANs and LAGs
- MLAG/MC-LAG
- QoS and traffic engineering
- Perform network provisioning, upgrades, and maintenance of SONiC environments.
- Monitor and optimize network performance for east-west traffic and high-throughput AI workloads.
- Support RoCEv2 networking and lossless Ethernet configurations for GPU clusters.
- Automate network operations using Ansible, Python, and APIs.
- Troubleshoot routing, switching, and latency issues across data center environments.
- Collaborate with Linux, Kubernetes, and infrastructure teams to support AI platforms.
- Develop operational procedures and maintain network documentation.
- Participate in customer deployments and provide remote support when needed.
Required Qualifications
- 2-3+ years of experience in data center networking.
- Hands-on experience with SONiC (Software for Open Networking in the Cloud).
- Strong understanding of:
- Layer 2 and Layer 3 networking
- BGP and EVPN
- VXLAN overlays
- ECMP
- Spine-leaf architectures
- High availability and redundancy
- Experience with white-box switches from vendors such as Edgecore, Celestica, Dell, or Supermicro.
- Solid understanding of Ethernet switching and routing protocols.
- Experience with Linux networking fundamentals.
- Familiarity with packet analysis tools and troubleshooting methodologies.
- Strong scripting or automation skills using Python, Bash, or Ansible.
- Ability to work independently in a fast-paced startup environment.
Preferred Qualifications
- Experience with AI and GPU clusters utilizing NVIDIA Spectrum or ConnectX networking.
- Familiarity with RoCEv2, PFC, ECN, and congestion management.
- Experience with Cumulus Linux, Arista EOS, Cisco NX-OS, or Juniper.
- Knowledge of Kubernetes and container networking.
- Experience with Mellanox/NVIDIA networking solutions.
- Familiarity with telemetry and observability tools such as Prometheus, Grafana, and NetBox.
- Experience with cloud networking and hybrid infrastructure.
- Understanding of RDMA and high-performance computing environments.
Nice to Have
- CCNP, CCIE, JNCIP, or equivalent networking certifications.
- Experience operating networks for AI factories, HPC clusters, or cloud providers.
- Contributions to SONiC, FRR, or open networking communities.
- Familiarity with network automation frameworks and GitOps workflows.
Why Join Qubrid AI
At Qubrid AI, you'll help build the networking backbone powering next-generation AI infrastructure. You'll work with cutting-edge GPU clusters, open networking technologies, and hyperscale-inspired architectures that deliver high-performance AI and inference at scale.
- If you're passionate about open networking, automation, and AI infrastructure, we'd love to hear from you. Read everything carefully. The requirements and screening questions are critical and if not answered correctly and satisfactorily will result in auto-rejection and waste of your time.
- Work from Home.
- This is a full time role. If you plan to do 2 or more jobs at the same time or want to do this part-time, that won't work for us. In that case p
