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Principal Network Consultant & advocate for Women in Tech at Hamilton Barnes
Join a Nasdaq-listed AI infrastructure provider as we expand our next-generation cloud platform and data center networks across the US and Europe.
Work alongside a world-class engineering team to design and scale cutting-edge GPU clusters, AI/ML infrastructure, and large-scale cloud services. You’ll be part of an innovation-driven, inclusive environment where your expertise directly impacts the backbone of global AI development.
What’s in it for you?
- Contribute to critical, high-impact AI and cloud infrastructure projects in a global environment.
- Collaborate with cross-functional teams building one of the most advanced data center and backbone networks in the world.
- Enjoy strong professional development opportunities, hybrid working, and quarterly bonuses—all within a fast-scaling, Nasdaq-listed company.
Responsibilities
- As a Senior Network Engineer, you’ll ensure the stability and scalability of modern data center infrastructure, GPU clusters, and backbone networks. You’ll design and operate thousands of server ports, InfiniBand-based interconnects, and develop automation and management tools for complex cloud environments.
- Responsibilities
- Design and optimize large-scale cloud overlay and underlay networks.
- Build and operate high-performance networks across GPU clusters and data centers.
- Research, test, and document advanced network designs and solutions.
- Troubleshoot complex end-to-end issues across data/control planes and multiple vendors.
- Support the rollout of new cloud and GPU regions across the US and Europe.
Required Skills & Experience
- Expert-level experience (JNCIxE/CCIE or equivalent) in MPLS, SR-MPLS, SRv6, VXLAN, BGP, IS-IS, ECMP, and L3 VPNs.
- Proficiency in designing, testing, and documenting multi-vendor network solutions.
- Strong knowledge of modern network architecture (ASICs, QoS, Whitebox/NOS).
- Deep experience diagnosing TCP/IPv4/IPv6 issues in CLOS/leaf-spine topologies.
- Hands-on experience with Juniper, Arista, Mellanox, and Huawei equipment.
Nice to Have:
- Experience with 2k+ GPU interconnect clusters and Broadcom/Spectrum ASICs.
- Familiarity with SDN overlays and cloud networking environments.
- Programming skills in Python, Go, or similar for automation.
- Understanding of InfiniBand and GPU networking topologies.
Seniority level
Seniority level
Mid-Senior level
Employment type
Job function
Job function
Information TechnologyIndustries
Staffing and Recruiting
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Inferred from the description for this job
Medical insurance
Vision insurance
401(k)
Paid maternity leave
Paid paternity leave
Student loan assistance
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