Global Resolution Engineer - Networking SME

WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by WEKA sets the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.

WEKA is a pre-IPO, growth-stage company on a hyper-growth trajectory. We’ve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the world’s largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. We’re passionate about solving our customers’ most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey.

What you'll be doing:

As a Global Resolution Engineer (GRE) – Networking SME at WEKA, you will serve as a top-tier technical escalation resource with deep specialization in networking for high-performance computing (HPC), AI/ML, and enterprise environments. You will be embedded in the GRE team and work cross-functionally with Customer Success, Engineering, and Product to resolve critical customer issues, influence product networking design, and improve global support readiness.

You will combine your expertise in modern networking technologies (Ethernet, Infiniband, RDMA, DPDK, UCX) with an understanding of WEKA’s unique networking stack and deployment architectures, helping customers achieve maximum performance, stability, and scalability in demanding environments.

As a GRE - Networking SME you'll: 

• Serve as the primary escalation point for complex customer issues related to networking, fabric design, connectivity, and performance in WEKA deployments.
• Troubleshoot Layer 1–4 networking problems in high-throughput, low-latency environments, including AI/ML pipelines and HPC clusters.
• Collaborate with Customer Success Engineers to mentor, review case strategy, and elevate overall team networking competence.
• Engage in proactive problem prevention by analyzing field data to identify emerging patterns, bottlenecks, or systemic flaws in network configurations.
• Maintain and evolve WEKA’s Known Issues Database, Technical Advisories (WTAs), and Knowledge Base (KB) with network-centric content.
• Partner with the Development team to provide detailed root cause analyses and influence future product capabilities and diagnostics tools.
• Conduct deep-dive training sessions on advanced networking topics for internal support teams and key customers.
  Participate in technical design reviews, both internally and with customer architecture teams, to ensure networking best practices are followed.
• Continuously improve WEKA’s internal tooling for packet capture, latency analysis, flow visualization, and path validation.
• Represent GRE in cross-functional architecture reviews involving customers, field engineers, and partners, with a focus on networking readiness and scalability.
• Support global 24/7 operations through on-call participation and high-severity incident resolution.

Requirements:

• Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field; equivalent experience accepted.
• 15+ years in advanced technical support, network engineering, or network architecture roles in enterprise, cloud, or HPC environments.
• Demonstrated ability to act as a technical lead in multi-team escalations and customer-critical situations.

Additional required skills:

• Subject matter expertise in modern data center networking, including Ethernet (10/25/40/100/400G), Infiniband (HDR/NDR), RDMA (RoCE), DPDK, and UCX.
• Extensive experience with multi-vendor enterprise switching and routing platforms (Arista, NVIDIA/Mellanox, Cisco, Juniper).
  Deep understanding of TCP/IP, LACP, ECMP, jumbo frames, MTU tuning, congestion control, and QoS in storage and compute networks.
• Hands-on experience with network telemetry tools, performance tuning, and link-level diagnostics (ethtool, iperf, perfquery, ifconfig, fabric utilities).
• Advanced Linux systems administration with emphasis on network stack debugging and tuning (sysctl, iptables/nftables, routing tables).
• Proven ability to resolve complex technical issues in distributed systems, particularly in storage-heavy, compute-intensive workloads.
• Excellent written and verbal communication skills, with the ability to convey technical detail clearly and concisely.
• Familiarity with WEKA’s architecture and networking requirements is a strong plus.
• Ability to lead architectural discussions on datacenter fabrics for scale-out systems (AI training clusters, hybrid cloud architectures, etc.).
• Strong documentation skills; able to produce clear internal guides and customer-facing technical content.
  Bonus: Experience with Kubernetes networking (CNI plugins, pod networking), Terraform, Ansible, or scripting in Python/Bash for automation.

The WEKA Way:

• We are Accountable: We take full ownership, always–even when things don’t go as planned. We lead with integrity, show up with responsibility & ownership, and hold ourselves and each other to the highest standards.

Concerned that you don’t meet every qualification above?

Studies have shown that women and people of color may be less likely to apply for jobs if they don’t meet every qualification specified. At WEKA, we are committed to building a diverse, inclusive and authentic workplace. If you are excited about this position but are concerned that your past work experience doesn’t match up perfectly with the job description, we encourage you to apply anyway – you may be just the right candidate for this or other roles at WEKA.

 WEKA is an equal opportunity employer that prohibits discrimination and harassment of any kind. We provide equal opportunities to all employees and applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.