Solutions Architect - Security

Weights & Biases Weights & Biases · Data AI · Bellevue, WA +3 · Technology - COR

CoreWeave is seeking a Solutions Architect to focus on securing Kubernetes workloads within their cloud infrastructure, supporting AI workloads at scale. The role involves customer engagement, solution design, proof of concept development, and providing insights to product and engineering teams. Requires expertise in cloud computing, Kubernetes security, and familiarity with NVIDIA GPUs.

What you'd actually do

  1. Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings, focusing on securing Kubernetes workloads within cloud infrastructure environments
  2. Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements.
  3. Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments.
  4. Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise.
  5. Act as a virtual member of CoreWeave's Security product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions.

Skills

Required

  • B.S. in Computer Science or a related technical discipline, or equivalent experience
  • 7+ years of proven experience as a Solutions Architect, engineer, researcher or technical account manager in cloud infrastructure focusing on building distributed systems or HPC/cloud services, with an expertise focused on securing Kubernetes workloads
  • Fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions
  • Proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences
  • Familiar with NVIDIA GPUs typically used in AI/ML applications and associated technologies including networking
  • Deep understanding of administrating Kubernetes clusters including controls such as RBAC, admission controllers, container security, etc.
  • Proven experience describing security concepts clearly, along with best practices and an understanding of the security tooling landscape in Kubernetes environments

Nice to have

  • Code contributions to open-source inference frameworks
  • Experience with scripting and automation related to securing Kubernetes environments
  • Experience with building solutions across multi-cloud environments
  • Client or customer-facing publications/talks on latency, optimization, or advanced model-server architectures

What the JD emphasized

  • securing Kubernetes workloads