Job Summary
NetApp is building the next gen AI Data Platform to help transform businesses by brining AI to Data. Data is the currency of business in the digital era. NetApp is the data authority, helping customers leverage and manage their data wherever it resides - in the cloud, in their data centers, or anywhere data flows. Engineers at NetApp help transform the way customers utilize their dynamic, diverse, and distributed information. They are allowing doctors to save lives with deep data analytics shared with medical experts around the world, helping automotive engineers improve autonomous vehicle navigation with artificial intelligence, enabling scientists to monitor and identify environmental hazards through deep image analysis, and providing companies the ability to expand their businesses in yet unimagined ways.
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By joining NetApp, you can take part in transforming how data is changing the world. ONTAP is the #1 Storage Operating System in the world, managing hundreds of Exabytes of customers information. We have more than 30,000 customers today that rely on us to be the data authority. Take part in the building the next gen AI Data Platform to changing how business think and we work.
Essential Functions:
• Manage group or groups of engineers responsible for all phases of software project development cycle
• Establish operational objectives & plans, and delegate assignments
• Develop, modify and execute company policies that will positively affect immediate operations and outcome
• Implement new projects, policies and procedures for the team; and ensure that project goals are met
• Utilize previous technical, project management, and people management experience to actively lead local and global projects
• Take responsibility for results, including costs, methods and staffing
Job Requirements
- A clear understanding of the product development cycle and project management
- Experience with storage platform management is highly desirable
- Experience in managing software development projects in LINUX/UNIX environments
- Experience with the systems engineering domain requiring concepts such as computer architecture, operating systems, file systems, networking, algorithms & data structures
- Experience with Machine Learning Libraries and Frameworks: PyTorch, TensorFlow, Keras, Open AI, LLMs ( Open Source), LangChain etc
- Experience working in Linux, AWS/Azure/GCP, Kubernetes - Control plane, Auto scaling, orchestration, containerization is a must.
- Experience with No Sql Document Databases (e.g., Mongo DB, Cassandra, Cosmos DB, Document DB) is a must.
- Experience working building Micro Services, REST APIs and related API frameworks.
- Experience with Big Data Technologies: Understanding big data technologies and platforms like Spark, Hadoop and distributed storage systems for handling large-scale datasets and parallel processing.
- Experience with AI/ML frameworks like PyTorch or TensorFlow is a must.
- Experience with storage or cloud technologies is a plus
- Utilizes people skills and available people manager tools to critically impact the growth of an individuals on the team
- Ability to navigate through ambiguity and drive the team towards the common goals
- Influence peers and partners across teams and Business Units
- Ability to build strong working relationships across all levels of the organization, including remote areas
- Experience on building and leading teams on SaaS applications : AWS, Azure, GCP.
Education
• A Bachelor of Engineering Degree in Computer Science/Electronics , a master's degree, or a Ph.D.; or equivalent experience is required
• A minimum of 10 years of experience as an individual contributor and a minimum of 5 years in technical leadership, people management is required
• Demonstrated ability to manage multiple critical projects
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