Senior Engineering Manager, NKP ( Nutanix Kubernetes Platform)

The Opportunity

At Nutanix, we are expanding the capabilities of the Nutanix Kubernetes Platform (NKP) to power the next generation of enterprise AI. This platform will serve as the foundation for AI/ML workloads, GPU infrastructure, and enterprise applications, delivering hyperscaler-like capabilities in on-prem and hybrid deployments. As a Senior/Staff Engineer on the NKP AI Platform team, you will be a key technical leader responsible for architecting, building, and scaling the infrastructure that allows enterprises to train, deploy, and manage mission-critical modern and AI applications effortlessly.

About the TeamNKP is a complete, enterprise-grade, production-ready platform based on Kubernetes that serves modern applications. By taking the best of the Cloud Native Computing Foundation (CNCF) ecosystem, but providing it in an integrated and lifecycle-managed package, NKP delivers all the functionality necessary in production with a dramatically lowered TCO. NKP provides simplified Kubernetes operations, seamless application mobility, and integrated security and compliance. Platform engineers and IT admins can use NKP to keep all cloud-native resources up-to-date with upgrades, patching, maintenance, and security. The technology and community in this industry are growing fast, new applications and solutions are coming to the market every day, and new standards are becoming mature at full speed. You will report to the Senior Engineering Manager,who adopts a collaborative leadership style that encourages team involvement in decision-making and values open discussions. The manager emphasizes the importance of strong communication and problem-solving skills, aiming to build a supportive environment for both personal and professional development.This role does not require any travel, allowing the new hire to focus on their responsibilities within the local team while also collaborating effectively with their US counterparts through virtual meetings and communication tools.

Your Role

• Extend Kubernetes for AI: Develop Kubernetes Custom Resource Definitions (CRDs), Operators, and Controllers in Golang to natively orchestrate AI workloads.

• Optimize GPU & Hardware Utilization: Build scheduling intelligence for AI-native infrastructure, including GPU-aware scheduling, resource isolation, and workload orchestration.

• Integrate the MLOps Ecosystem: Seamlessly integrate and manage the lifecycle of leading open-source AI tools like Kubeflow, KServe, Ray, vLLM, and Triton Inference Server within the NKP stack.

• Technical Leadership & Mentorship: Act as a force multiplier for the team. Drive architectural reviews, establish coding standards, and mentor junior and mid-level engineers.

• Cross-Functional Collaboration: Partner closely with Product Managers, the core NKP K8s team, and Nutanix Data Services (NDK) to ensure seamless data gravity and persistent storage for AI workloads.

What You Will Bring

• Education: Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field (or equivalent practical experience).

• Experience: 8+ years of software engineering experience, with at least 3+ years focused on building scalable distributed systems, cloud platforms, or AI/ML infrastructure.

• Language Proficiency: Deep expertise in Golang (for the K8s ecosystem) and Python (for the ML ecosystem).

• Kubernetes Mastery: Extensive experience with Kubernetes internals, building K8s Operators, Controllers, and working with the Cluster API (CAPI).

• Systems Engineering: Strong understanding of Linux internals, networking, and container runtimes (containerd, Docker).

• API & Platform Design: Proven track record of designing intuitive, developer-friendly APIs and scalable microservices architectures.

• AI/ML Infrastructure Knowledge: Hands-on experience with MLOps frameworks and distributed AI computing (e.g., Kubeflow, Ray, KServe, PyTorch DDP).

Learn More About the Technology:

Work Arrangement Subject to business requirements, this role may be determined to be remote or in a hybrid capacity. If the selected candidate resides within 50 miles of a Nutanix office requiring in-office presence (specifically in San Jose, Durham, Mexico City, Vancouver, Bangalore, Pune, Hoofddorp, Belgrade, Barcelona, Singapore, Sydney, or Tokyo), it will require working onsite a minimum of three days per week. Additional team-specific guidance and norms will be provided by the hiring manager.

Pay Transparency The pay range for this position at commencement of employment is expected to be between CAD$196,800 and CAD $295,200 per annual. However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Our application deadline is 40 days from the date of posting. In good faith, the posting may be removed prior to this date if the position is filled or extended in good faith.

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