Nutanix

Builds software to run apps across cloud systems

Senior Staff Consulting Architect - Kubernetes/AI

Implementation & Technical Account ManagementConfirmed live in the last 24 hours

Full-timeNo salary listedRemote

About the Job

Requirements

A bachelor's degree in Computer Science, Information Technology, or a related field is required.
At least 5 years of experience designing and implementing infrastructure for data-intensive or AI/Kubernetes workloads is required.
Strong expertise in container orchestration with Kubernetes is required.
Knowledge of deployment lifecycle and resource requirements for AI/Kubernetes models, including large language model inference, is required.
Proficiency with Infrastructure as Code tools such as Terraform or Ansible is required.
Experience with GPU acceleration technologies, such as NVIDIA CUDA, in containerized environments is required.
Familiarity with monitoring tools such as Prometheus and Grafana is required.
Strong communication, problem-solving, analytical, and troubleshooting abilities are required.
Excellent client-facing communication, presentation, and collaboration skills are required.
Ability to work independently in a dynamic, customer-facing environment is required.

Responsibilities

Design and implement scalable AI/Kubernetes infrastructure solutions on Nutanix hyperconverged infrastructure platforms, tailored to customer requirements.
Advise clients on best practices for configuring Kubernetes to efficiently manage AI/Kubernetes workloads.
Collaborate with cross-functional teams to align infrastructure capabilities with client AI/Kubernetes initiatives and strategies.
Develop and maintain documentation for solution configurations, deployment guides, and knowledge-sharing resources.
Monitor and optimize infrastructure performance to ensure high availability and resource efficiency for AI model execution.
Provide subject matter expertise and guidance on GPU acceleration technologies and their integration into AI workflows.
Engage with clients to troubleshoot issues and provide ongoing support for their AI/Kubernetes infrastructures.
Achieve measurable improvements in client satisfaction and project outcomes within the first year, evidenced by successful deployments and positive feedback.

Desired Qualifications

Experience with hyperconverged infrastructure platforms is a strong plus.

Hungry, Humble, Honest, with Heart.

The Opportunity
Are you a passionate innovator with a strong background in AI/Kubernetes infrastructure, excellent client-facing communication skills, and a relentless drive to solve complex problems? If so, joining our Professional Services team at Nutanix means becoming part of a dynamic organization recognized for its commitment to delivering exceptional solutions, where you’ll collaborate with talented professionals to advance groundbreaking technologies and make a tangible impact on client success.

About the Team
The Nutanix Professional Services team delivers a strong influence on the success of each Nutanix implementation by its customers. The Services function ensures success by engaging with customers in the pre-sales and post-sales stages by assisting in their software-defined data center (SDDC) strategy and architecture. Besides helping customers implement Nutanix products successfully, the Professional Services team, working with our partners, ensures customer success in fully implementing their virtualized and software-defined data centers. The Nutanix Professional Services Consulting function includes assessment, design, implementation, integration, and automation services as well as project management.

Your Role

Design and implement scalable AI/Kubernetes infrastructure solutions on Nutanix HCI platforms, tailored to customer requirements.
Advise clients on best practices for configuring Kubernetes for efficient management of AI/Kubernetes workloads.
Collaborate with cross-functional teams to align infrastructure capabilities with client AI/Kubernetes initiatives and strategies.
Develop and maintain documentation for solution configurations, deployment guides, and knowledge-sharing resources.
Monitor and optimize infrastructure performance, ensuring high availability and resource efficiency for AI model execution.
Act as a subject matter expert, providing guidance on GPU acceleration technologies and their integration in AI workflows.
Engage with clients to troubleshoot issues and provide ongoing support for their AI/Kubernetes infrastructures.
Achieve measurable improvements in client satisfaction and project outcomes within the first year, evidenced by successful deployments and positive feedback.

What You Will Bring

Bachelor’s degree in Computer Science, Information Technology, or a related field.
5+ years of experience in designing and implementing infrastructure for data-intensive or AI/Kubernetes workloads.
Strong expertise in container orchestration with Kubernetes.
Knowledge of deployment lifecycle and resource requirements for AI/Kubernetes models, including LLM inference.
Proficiency in Infrastructure as Code (IaC) tools like Terraform or Ansible.
Experience with GPU acceleration technologies (e.g., NVIDIA CUDA) in containerized environments.
Familiarity with monitoring tools such as Prometheus and Grafana.
Exceptional communication and problem-solving skills with a client-focused mindset.
Excellent client-facing communication, presentation, and collaboration skills.
Strong problem-solving, analytical, and troubleshooting abilities.
Proven ability to work independently in a dynamic, customer-facing environment.
Experience with Hyperconverged Infrastructure (HCI) platforms is a strong plus.

About the Company

Nutanix

Builds software to run apps across cloud systems

Nutanix builds infrastructure software for organizations that run applications and manage data across private data centers, public clouds and edge locations. Its cloud platform combines virtual machines, storage, networking and management, with AHV virtualization and Prism controls in one system. Customers also use its tools to operate Kubernetes clusters, automate databases and deploy AI inference services across computing environments. The company sells software subscriptions and support that run on compatible servers and public cloud capacity supplied by other providers. Nutanix was founded in 2009 and is headquartered in San Jose, California.

Company size: 5,001-10,000
Company stage: IPO
Headquarters: San Jose, CA
Founded: 2009

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