Senior Engineering Manager, NKP ( Nutanix Kubernetes Platform)
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Key skills for this role
About the Role
Nutanix is looking for a Senior/Staff Engineer to join the NKP AI Platform team, architecting and scaling infrastructure for enterprise AI workloads. The role requires 8+ years of software engineering experience with deep expertise in Golang, Kubernetes, and AI/ML infrastructure.
Key Skills for This Role
Responsibilities
- Extend Kubernetes for AI by developing CRDs, Operators, and Controllers in Golang
- Optimize GPU and hardware utilization with scheduling intelligence for AI native infrastructure
- Integrate and manage the lifecycle of open source AI tools like Kubeflow, KServe, Ray, vLLM, and Triton Inference Server
- Provide technical leadership and mentorship, drive architectural reviews, establish coding standards
- Partner cross functionally with Product Managers, core NKP K8s team, and Nutanix Data Services
Requirements
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or related field (or equivalent practical experience)
- 8+ years of software engineering experience, with at least 3+ years focused on building scalable distributed systems, cloud platforms, or AI/ML infrastructure
- Deep expertise in Golang and Python
- Extensive experience with Kubernetes internals, building K8s Operators, Controllers, and working with Cluster API (CAPI)
- Strong understanding of Linux internals, networking, and container runtimes
- Hands on experience with MLOps frameworks and distributed AI computing (e.g., Kubeflow, Ray, KServe, PyTorch DDP)
Full Job Posting
The Opportunity
- At Nutanix, we are expanding the capabilities of the Nutanix Kubernetes Platform (NKP) to power the next generation of enterprise AI.
Your Role
- Extend Kubernetes for AI: Develop CRDs, Operators, and Controllers in Golang.
- Optimize GPU & Hardware Utilization: Build scheduling intelligence for AI native infrastructure.
- Integrate the MLOps Ecosystem: Seamlessly integrate and manage the lifecycle of leading open source AI tools.
- Technical Leadership & Mentorship: Act as a force multiplier for the team.
- Cross Functional Collaboration: Partner with Product Managers, core NKP K8s team, and Nutanix Data Services.
What You Will Bring
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or related field.
- 8+ years of software engineering experience, with at least 3+ years focused on scalable distributed systems, cloud platforms, or AI/ML infrastructure.
- Deep expertise in Golang and Python.
- Extensive experience with Kubernetes internals, building K8s Operators, Controllers, and Cluster API.
- Strong understanding of Linux internals, networking, and container runtimes.
- Hands on experience with MLOps frameworks and distributed AI computing.
Pay Transparency
- The pay range for this position is expected to be between CAD 196,800 and CAD 295,200 per year.
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