Nutanix · San Jose, CA

Salary
$195,200–$391,200from the description
Posted
Jul 5, 2026
Location
San Jose, CA
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

A senior engineering management role focused on building and scaling an enterprise-grade Kubernetes platform designed to support AI/ML workloads, GPU infrastructure, and mission-critical applications in on-premises and hybrid environments. The work spans cluster lifecycle management, fleet management, multi-tenancy, and workload orchestration, with responsibility for both technical direction and leading a distributed engineering team. Suits experienced engineering leaders with a strong distributed systems background; deep Kubernetes knowledge is helpful but not a strict requirement.

Senior level · San Jose-Sunnyvale-Santa Clara, CA · Full-time

Must have (4)
distributed systemsSLOsobservabilitycloud platforms, AWS, Azure or GCP
Nice to have (3)
KubernetesGPU infrastructureAI/ML workloads

“or” means any one of them counts — you don't need all of them.

We read this from the posting text with AI. Skim the description below before ruling yourself out.

How this req sits in the market our data

Roughly 510 people in the San Jose-Sunnyvale-Santa Clara, CA area plausibly meet what this posting asks for (computer and information systems managers). range 210–760

Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.

What won't set you apart
cloud platforms50%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $298,074 (middle half $224,695–$326,567). This posting is about at that midpoint.

Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.

Why we read it this way (8)

This is a people-management role (Senior Engineering Manager with direct reports, hiring, and team scaling), mapped to 11-3021. However, the JD emphasizes deep technical involvement and hands-on systems design, making 15-1252 a plausible runner-up.

Kubernetes is explicitly called 'desirable, but not required' in the What You Will Bring section — it is a preferred, not a hard gate.

GPU infrastructure and AI/ML workload experience are explicitly labeled 'Preferred but Not Required' in their own section heading.

Fleet management and multi-cluster experience appear under a secondary 'Platform & Systems Thinking' section framed as 'familiarity with', not a hard gate.

The role lists multiple office locations (San Jose, Durham, Mexico City, Bangalore, Pune, and others); San Jose is listed first and appears to be the primary US anchor. The compensation range is US-denominated.

The wide compensation band (USD $195,200–$391,200/year) reflects the hybrid US/global location set and seniority level.

No minimum total years of experience is stated explicitly in the posting.

Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): multi-tenant platform design, fleet management.

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