Senior DSE — AI/GPU Platform Owner (Remote)

Weka; United States; Hybrid; USD 180,000 - 240,000; Full time

Job summary

WEKA is seeking a Senior Designated Services Engineer (NCP) to own premium services for an assigned AI hyperscaler, including both technical leadership and account stewardship. You will guide architecture, deployments, performance tuning, and customer outcomes with a proactive, end-to-end mindset.

The role blends 80% hands-on engineering—architecture, deployment, performance, and escalation handling—and 20% programmatic planning, cadence, reviews, and reporting to ensure long-term customer

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.

Responsibilities

• Own engineering and operations for WEKA DSE services across clusters and deployments.
• Monitor environments using WEKA Home, autosupport, and observability to detect risks early.
• Lead issue resolution from onset to root cause with engineering and R&D.
• Bridge customer needs to engineering and prioritize bugs and documentation.
• Advise on architecture, scale, and tenancy; coordinate WEKA resources.
• Verify GPU node clients, SR-IOV networks, and CSI driver configurations.
• Tune performance for training, inference, and checkpointing; run benchmarks.
• Deliver continuity; drive expansions and new deployments within existing engagement.
• Coordinate across Sales, Professional Services, Product, and R&D.
• Educate customers on new features, alerts, and best practices.

Skills

Kubernetes

Linux

Cloud platforms

Python

Bash

Ansible

Prometheus

Grafana

GPU/AI infra

Networking

Tools

NVIDIA DGX

WEKA

Prometheus

Grafana

Ansible

Terraform

Kubernetes

Job description

WEKA is seeking a Senior Designated Services Engineer (NCP) to own premium services for an assigned AI hyperscaler, including both technical leadership and account stewardship. You will guide architecture, deployments, performance tuning, and customer outcomes with a proactive, end-to-end mindset.

The role blends 80% hands-on engineering—architecture, deployment, performance, and escalation handling—and 20% programmatic planning, cadence, reviews, and reporting to ensure long-term customer