Software Engineer - AI Data Platform

• Member of a software engineering team involved in development & design of the AI Data Platform built on NetApp’s flagship storage operating ONTAP
• Work as part of a team responsible for the development, testing and debugging of distributed software that drives NetApp cloud, hybrid-cloud, and on-premises AI/ML solutions
• Focus on enhancements to existing products as well as new product development

• 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
• Hands-on experience working with Rest APIs and Micro Services – Flask, API frameworks
• 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
• 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
• Proven track record of working on mid to large sized projects
• Responsible for providing support in the development and testing activities of other engineers that involve several inter-dependencies
• Participate in technical discussions within the team and across cross-functional teams
• Willing to work on additional tasks and responsibilities that will contribute towards team, department and company goals
• A strong understanding and experience with concepts related to computer architecture, data structures and programming practices
• A Bachelor of Science Degree in Engineering or Computer Science with 2 years of experience, or a Master’s Degree
• or equivalent experience is required

Experience with AI/ML frameworks like PyTorch or TensorFlow is a Plus

• Health Insurance
• Life Insurance
• Retirement or Pension Plans
• Paid Time Off (PTO)
• various Leave options
• Performance-Based Incentives
• employee stock purchase plan
• and/or restricted stocks (RSU’s)