Senior Designated Services Engineer AI Hyperscaler NCP

WEKA; United States; On-site; USD 160,000 - 240,000; Full time

Job summary

WEKA is seeking a Senior Designated Services Engineer to own client engagements for AI hyperscalers. You will blend hands-on architecture, deployment, performance work with programmatic cadence, planning, and reporting to cover customer needs over time.

You will manage GPU/NCP environments, Kubernetes, and tenant networks, driving RCAs and architecture recommendations. Travel to customer sites is expected.

Qualifications

• 10+ years in customer-facing, deep technical problem-solving roles.
• Hands-on experience supporting Linux-based enterprise infrastructure at scale: storage, networking, virtualization, and cloud.
• Experience in L3 support and direct customer interaction for enterprise infrastructure products.
• Deep understanding of networking: InfiniBand, Ethernet, RDMA, DPDK, and UCX.
• Strong fluency in Kubernetes and containerization, including persistent storage, CSI, and operators.
• Experience with GPU, HPC, or AI/ML infrastructure. Comfort with performance benchmarking and diagnosing bottlenecks.
• Proficiency with at least one major cloud: AWS, Azure, Oracle Cloud, or Google Cloud.
• Proficiency in Python, Bash, or Ansible for monitoring, diagnostics, and repeatable tasks.
• Experience with observability stacks such as Prometheus and Grafana.
• Proven ability to resolve complex customer problems and escalations using the right internal and external resources.
• Experience leading customer reviews, planning upgrades, and managing multiple workstreams at once.
• Excellent written and verbal communication. You can brief an engineer and a CTO on the same day.
• Strong technical writing.
• Willingness to travel to customer sites as needed.

Responsibilities

• Know the environment: WEKA clusters, client fleets, networks, Kubernetes deployments, and tenant workloads.
• Monitor proactively with WEKA Home, autosupport, observability to detect risks before production.
• Own customer issues from open to root cause; deliver clear RCAs.
• Bridge to Engineering: prioritize bugs, reliability, and supportability; align features with customer needs.
• Recommend architecture and align senior WEKA resources or execute recommendations.
• Own the client layer: verify GPU node clients, BlueField-3, SR-IOV networking, tenant networks, mounts, cgroups, and WEKA Kubernetes operator and CSI driver.
• Tune performance for training, inference, and checkpointing; run benchmarks and set baselines.
• Drive expansions and new deployments within the existing engagement; no separate implementation spin-up.
• Write runbooks, KB articles, postmortems, and automation; document the environment quarterly.
• Support Sales Engineering, partners, and account teams with technical depth.

Skills

Linux administration

Kubernetes

Cloud platforms

Python

Bash

Ansible

Prometheus

Grafana

Networking (InfiniBand, Ethernet, RDMA

GPU/AI infrastructure

Technical writing

Customer facing

Job description

WEKA is seeking a Senior Designated Services Engineer to own client engagements for AI hyperscalers. You will blend hands-on architecture, deployment, performance work with programmatic cadence, planning, and reporting to cover customer needs over time.

You will manage GPU/NCP environments, Kubernetes, and tenant networks, driving RCAs and architecture recommendations. Travel to customer sites is expected.