SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 201,000 - 402,000 / annual
Nutanix is seeking a Senior Engineering Manager to lead the design, development, and scaling of a next-generation Kubernetes platform for enterprise environments. This platform will power AI/ML workloads, GPU infrastructure, and mission-critical applications, delivering hyperscaler-like capabilities in on-premises and hybrid deployments.
You will lead a globally distributed team (US and India) responsible for building a production-grade, scalable Kubernetes platform. Key ownership areas include cluster lifecycle management, fleet management, multi-tenancy, and deep integration with compute (CPU/GPU), networking, and storage systems. The team operates at the intersection of infrastructure and AI, with a charter to enable enterprises to run mission-critical and AI workloads at massive scale with a focus on simplicity, reliability, and performance.
In this role, you will own end-to-end delivery of key platform capabilities, drive the design of large-scale distributed systems (evolving toward global control planes and cell-based architectures), and lead engineers to build AI-native infrastructure including GPU-aware scheduling, resource isolation, and workload orchestration. You will partner closely with Product and cross-functional teams to translate enterprise and AI use cases into platform capabilities, and establish a strong operational excellence culture with SLOs, reliability engineering, and production readiness.
You bring proven experience leading and scaling high-performing engineering teams with the ability to drive clarity, ownership, and execution in complex, ambiguous problem spaces. Strong understanding of distributed systems at scale is essential, along with hands-on familiarity with cloud platforms, infrastructure systems, or PaaS offerings. You have experience building large, meaningful production systems. Kubernetes experience is desirable but not required—the company welcomes leaders excited to learn Kubernetes deeply and apply strong systems fundamentals.
Experience designing multi-tenant platforms with clear abstractions (projects, quotas, policies) and familiarity with multi-cluster/fleet management and large-scale system design are valued. Exposure to AI/ML workloads or GPU-based systems is a plus, though the company equally welcomes strong platform engineers excited to grow into AI infrastructure. You have a track record of delivering reliable, production-grade systems with experience in SLOs, observability, incident management, and lifecycle operations. Strong ability to work across product, hardware, and field teams with effective executive-level communication and stakeholder management is required.
The role is hybrid with an expectation to work onsite a minimum of 3 days per week in San Jose to foster collaboration and team alignment.
