Senior AI Platform DSE — Proactive GPU & Kubernetes Owner

Openkrill; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

Openkrill is seeking a Senior Designated Services Engineer to own the customer relationship for WEKA within AI hyperscaler environments. You will blend hands-on engineering with programmatic leadership to ensure architecture, deployment, performance, and issue resolution across WEKA clusters.

You will monitor proactively, coordinate across WEKA teams, and deliver timely RCAs while guiding strategic upgrades and expansions. Travel to customer sites will be required as needed.

Qualifications

• 10+ years in customer-facing, deep technical problem-solving roles.
• Hands-on experience supporting Linux-based enterprise infrastructure at scale.
• 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.
• 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.
• Experience leading customer reviews, planning upgrades, and managing multiple workstreams.

Responsibilities

• Own the WEKA cluster environment and tenant workloads, tracking changes and configs.
• Proactively monitor health using WEKA tools and perform root-cause analysis.
• Resolve customer issues end-to-end, coordinating with engineering and R&D.
• Bridge to Engineering and Product to prioritize fixes and improvements.
• Advise on design, scale, and tenancy for customers and coordinate resources.
• Drive verification of GPU nodes, networking, and WEKA Kubernetes components.
• Tune performance for training, inference, and checkpointing; set baselines.
• Deliver continuity for expansions and new deployments within the existing engagement.

Skills

Customer-facing

Deep technical problem-solving

Linux-based infra

Kubernetes

Networking

Python/Bash/Ansible

Observability

Tools

Kubernetes

Prometheus

Grafana

Ansible

WEKA

Job description

Openkrill is seeking a Senior Designated Services Engineer to own the customer relationship for WEKA within AI hyperscaler environments. You will blend hands-on engineering with programmatic leadership to ensure architecture, deployment, performance, and issue resolution across WEKA clusters.

You will monitor proactively, coordinate across WEKA teams, and deliver timely RCAs while guiding strategic upgrades and expansions. Travel to customer sites will be required as needed.