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Software Engineer – NetApp | Bengaluru, India

NetAppBengaluru
INR Not Disclosed/year
NetApp
Software EngineerFull-timePosted 12 May 2025Updated 12 May 2025Expired
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Job Description

Join NetApp, a global leader in intelligent data infrastructure, and become part of a team that’s redefining what’s possible through data. As a Software Engineer in the Active IQ Analytics division, you will work with multi-petabyte data lakes, develop GenAI-powered applications, and engineer smart solutions to drive customer success. This is your opportunity to solve real-world problems in storage durability, predictive analytics, and infrastructure intelligence — all while shaping the future of automated data center operations.

Requirements

  • Design and develop advanced GenAI and RAG-based analytics models
  • Analyze real-time telemetry from over 500K IoT devices
  • Engineer solutions for cross-sell, upsell prediction, and lifecycle analytics
  • Work with massive structured and unstructured data sets
  • Implement scalable data models and API services in Python or Node.js
  • Integrate with databases like MongoDB, and leverage vector databases
  • Collaborate across teams to enhance always-on storage ecosystems

Key Qualifications:

  • 0–3 years of relevant engineering or data science experience
  • Proficiency in Python or Node.js
  • Strong foundation in data structures and algorithms
  • Hands-on experience with MongoDB or similar NoSQL DBs
  • Practical knowledge in GenAI, RAG, LLMs, vector search
  • Bonus: Experience with ONTAP or NetApp storage systems
  • Bachelor’s degree in Engineering, Data Science, Statistics, or related field

Why NetApp?

  • Work with real-world GenAI production use cases
  • Collaborate in a hybrid work model that values flexibility and culture
  • Enjoy best-in-class volunteering benefits (40 hours paid time off)
  • Access to healthcare, legal, financial, emotional wellness programs
  • Grow with education assistance, perks, and personalized career growth paths
  • Be part of an inclusive, forward-thinking team solving global-scale data challenges

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