Senior Member of Technical Staff

Hungry, Humble, Honest, with Heart 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 serves as the foundation for AI/ML workloads, GPU infrastructure, and enterprise applications, delivering hyperscaler-like capabilities across on-prem and hybrid deployments. As a Senior 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. This is a high-impact, hands-on engineering role where you will bridge the gap between underlying container orchestration and advanced AI/ML workloads, tackling hard problems in large-scale distributed systems, evolving toward global control planes, GPU scheduling, and cell-based architectures. About the Team NKP 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. 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 counterparts through virtual meetings and communication tools. Nutanix Vancouver: Nutanix is expanding its engineering presence in Vancouver as part of a long-term commitment to building strong infrastructure and platform teams. This hub brings together engineers working on distributed systems, storage, compute, networking, and platform services. For engineers joining early, this is an opportunity to contribute to meaningful systems while influencing how the team develops. Learn more about Nutanix Vancouver: https://careers.nutanix.com/en/nutanix-vancouver/ Your Role Develop Kubernetes Custom Resource Definitions (CRDs), Operators, and Controllers in Golang to natively orchestrate AI workloads. Build scheduling intelligence for AI-native infrastructure, including GPU-aware scheduling, resource isolation, and workload orchestration. 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. Drive architectural reviews, establish coding standards, and mentor junior and mid-level engineers to act as a technical force multiplier. 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 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 (for K8s ecosystem) and Python (for ML ecosystem). Extensive experience with Kubernetes internals, building K8s Operators, Controllers, and working with the Cluster API (CAPI). Hands-on experience with MLOps frameworks and distributed AI computing (e.g., Kubeflow, Ray, KServe, PyTorch DDP). Strong understanding of Linux internals, networking, and container runtimes (containerd, Docker). Proven track record of designing intuitive, developer-friendly APIs and scalable microservices architectures. Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field (or equivalent practical experience). Learn More About the Technology: https://www.nutanixbible.com/ Highlighted Benefits (Vancouver, Canada) Retirement: RRSP with dollar-for-dollar matching up to 7% of base salary Mental Health: Dedicated mental health coverage plus top-tier paramedical benefits Family: Fully paid maternity and parental leave and generous bereavement leave, including time for the loss of a pet Equity: RSUs and Employee Stock Purchase Plan at a 15% discount Time Off: Company holidays, sick days, company wellness days, and vacation starting at 10 days Work Arrangement Hybrid: This role operates in a hybrid capacity, blending the benefits of remote work with the advantages of in-person collaboration. In locations where our workplace policy applies (i.e. San Jose, Durham, Mexico City, Vancouver, Bangalore, Pune, Hoofddorp, Belgrade, Barcelona, Singapore, Sydney and Tokyo), employees are expected to work onsite a minimum of 3 days per week to foster collaboration, team alignment, and access to in-office resources. Workplace type may vary based on location and team requirements. Please speak with your recruiter for details. Additional team-specific guidance and norms will be provided by your manager. Note: Nutanix does not assist with applications for work permits or permanent residence, including provincial nomination. Pay Transparency The pay range for this position at commencement of employment is expected to be between CAD $171,000 and CAD$257,000 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. --