
201 - 500 employees
Founded 2013
🤖 Artificial Intelligence
🏢 Enterprise
🤝 B2B
💰 $140M Series E - WEKA on 2024-05
Artificial Intelligence • Enterprise • B2B
WEKA is an enterprise-focused company that provides an "AI-Native Data Platform." The available materials reference a WEKA support portal used for customer access and account management, indicating the company offers platform software and support for AI/data workloads aimed at business customers.
🔥 1 hour ago
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201 - 500 employees
Founded 2013
🤖 Artificial Intelligence
🏢 Enterprise
🤝 B2B
💰 $140M Series E - WEKA on 2024-05
Artificial Intelligence • Enterprise • B2B
WEKA is an enterprise-focused company that provides an "AI-Native Data Platform." The available materials reference a WEKA support portal used for customer access and account management, indicating the company offers platform software and support for AI/data workloads aimed at business customers.
• 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.
• 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. • Experience working with or supporting cloud providers (AWS, Azure, GCP) and hybrid deployments is preferred. • English fluency required; additional languages a plus. • Flexibility to support global operations, including on-call rotation and occasional travel. • 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.
• N/A
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