Sr. Staff Consultant NAI

Nutanix; United States; On-site; USD 100,000 - 140,000; Full time

Job summary

Nutanix is seeking a Professional Services engineer to implement scalable AI and NKP infrastructure on Nutanix HCI platforms, tailoring solutions to customer needs. You will advise on Kubernetes configurations for efficient workload management and develop comprehensive deployment guides.

You will collaborate with clients, troubleshoot issues, and provide ongoing support while working remotely with occasional travel.

Qualifications

• Bachelor’s degree in computer science, information technology, or a related field.
• 2+ years of experience implementing infrastructure for data-intensive workloads (AI workload experience is a plus).
• Strong expertise in container orchestration with Kubernetes and GPU acceleration technologies.
• Exceptional communication, problem-solving, analytical and troubleshooting abilities.
• Proven ability to work independently in a dynamic, customer-facing environment.
• Active Top Secret Clearance is a strong plus.
• Experience with Hyperconverged Infrastructure (HCI) platforms is a strong plus.
• Remote: primarily remote with occasional travel as needed.

Responsibilities

• Implement scalable AI and NKP infrastructure solutions on Nutanix HCI platforms, tailored to customer requirements.
• Advise clients on best practices for configuring Kubernetes for efficient management of workloads.
• Develop and maintain documentation for solution configurations, deployment guides, and knowledge-sharing resources.
• Engage with clients to troubleshoot issues and provide ongoing support for their AI and NKP infrastructures.

Skills

Kubernetes

GPU acceleration

Customer-facing communication

Problem-solving

Education

Bachelor’s degree in computer science or information technology

Job description

Professional ServicesUnited States,United StatesReq.Num.: 32755

Are you a passionate innovator with a strong background in AI or NKP 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 known for delivering exceptional solutions. You will collaborate with talented professionals to advance groundbreaking technologies, tailor scalable solutions to customer requirements, and make a tangible impact on client success by advising on best practices for efficient workload management.

About the Team

The Nutanix Professional Services team strongly influences the success of each Nutanix implementation. Engaging with customers in pre- and post-sales stages, the team helps define their software-defined data center (SDDC) strategy and architecture. Besides ensuring successful implementations of Nutanix products, the Professional Services team works closely with partners to guarantee that customers fully realize their virtualized environments. The function includes assessment, design, implementation, integration, automation services, and project management in a highly collaborative setting.

You will report directly to Ron van Asperen and the wider Professional Services leadership team. The leadership style here emphasizes autonomy, trust, and continuous technical mentorship. We believe in empowering our consultants to take ownership of their client engagements while providing a robust support system of peer experts. Our managers focus on removing roadblocks and fostering an atmosphere of continuous learning, ensuring you have the resources needed to thrive in complex technical deployments.

While this position is primarily remote, travel may be required based on specific business needs and client project deployments, typically demanding occasional travel to high-security or strategic client locations to ensure successful integration and implementation.

Your Role

Implement scalable AI and NKP infrastructure solutions on Nutanix HCI platforms, tailored to customer requirements.

Advise clients on best practices for configuring Kubernetes for efficient management of workloads.

Develop and maintain documentation for solution configurations, deployment guides, and knowledge-sharing resources.

Engage with clients to troubleshoot issues and provide ongoing support for their AI and NKP infrastructures.

What You Will Bring

Bachelor’s degree in computer science, Information Technology, or a related field.

2+ years of experience in implementing infrastructure for data-intensive workloads (AI workload experience is a plus).

Strong expertise in container orchestration with Kubernetes and experience with GPU acceleration technologies.

Exceptional communication, problem-solving, analytical, and troubleshooting abilities.

Proven ability to work independently in a dynamic, customer-facing environment.

Active Top Secret Clearance is a strong plus.

Experience with Hyperconverged Infrastructure (HCI) platforms is a strong plus.

Remote: This position is primarily remote. There is no specific in-office requirement, however, there may be circumstances where you may be required to come into a local office for a specific purpose, and/or to travel to other locations based on business needs.

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Nutanix is an equal opportunity employer.

Nutanix is an Equal Employment Opportunity and (in the U.S.) an Aff… Qualified applicants are considered for employment opportunities without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, protected veteran status, disability status or any other category protected by applicable law. We hire and promote individuals solely on the basis of qualifications for the job to be filled. We strive to foster an inclusive working environment that enables all our Nutants to be themselves and to do great work in a safe and welcoming environment, free of unlawful discrimination, intimidation or harassment. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If you need a reasonable accommodation, please let us know by contacting [e-mail] .