Job Description

: Hungry, Humble, Honest, with a Heart. The Opportunity: Do you love building a high performant machine learning system stack on the Nutanix Cloud platform We work in a fast-paced startup mindset and look forward to adding self-initiated team members who like to take ownership and build large scale data platform services. We are currently looking for experienced self motivated systems engineers with expertise and passion in solving challenging problems in distributed systems and virtualised infrastructure. If this is exciting for you, join us in building cloud native machine learning services from ground up for Nutanix customers Your Role: Build and optimize distributed systems that can scale for large volumes of data. Architect, design and develop scalable, fault-tolerant services on-prem or cloud Improve performance and scalability of various components in the system stack Design broad distributed system interactions and optimize any part of the stack including low level systems Leverage and contribute to relevant open-source cloud native projects What you\'ll bring: Bachelor\'s/Master\'s degree in Computer Science or related field required. 4-7 years of experience designing and developing large scale software applications. Strong coding experience in one or more languages: Go, Python etc Good understanding of data structure and algorithms. Strong experience in docker, kubernetes and cloud native technologies Strong understanding of datacenter design including compute, storage, and networking Familiarity with on prem, cloud and hybrid software deployment architectures Good experience in designing and tuning high performance system software Strong understanding of distributed compute and storage architectures Strong understanding of OS internals, virtualization, application performance monitoring, compute storage, networking management Familiarity with machine learning concepts and popular frameworks (like TensorFlow, PyTorch etc) is a strong plus Familiarity with ML engineering or MLOps would be a plus Experience with hardware accelerators like GPU is a strong plus. Experience in working with large codebases or contribution to open source is a strong plus. Experience in building full stack multi-tenant services on a virtualized infrastructure is a very strong plus.

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