Staff Software Engineer
1 month ago
Job Title: Staff Software Engineer
Job Summary
As a Staff Software Engineer at NetApp, you will be part of a dynamic team responsible for developing and designing AI Data Platform built on NetApp's flagship storage operating system, ONTAP. This platform is the #1 Storage Operating System in the world, managing hundreds of Exabytes of customer information. We have more than 30,000 customers today that rely on us to be the data authority.
Key Responsibilities
- Design and develop software components for the AI Data Platform using programming languages like Python, GO, Java/C#, C/C++.
- Collaborate with cross-functional teams to integrate software components and ensure seamless functionality.
- Work with Machine Learning Libraries and Frameworks: PyTorch, TensorFlow, Keras, Open AI, LLMs (Open Source), LangChain etc.
- 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.
- Storage Domain experience is a plus.
- Experience with Filesystems or Networking or file/cloud protocols is a plus.
Requirements
- Proficiency in programming languages like Python, GO, Java/C#, C/C++.
- 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.
- Storage Domain experience is a plus.
- Experience with Filesystems or Networking or file/cloud protocols is a plus.
Education
Typically requires a minimum of 12 years of related experience with a Bachelor's degree or 12 years and a Master's degree; or a PhD with 10 years experience; or equivalent experience.
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