Software Engineer

Job Summary

Member of a software engineering team involved in development & design of the AI Data Platform built on NetApp’s flagship storage operating ONTAP. ONTAP is a feature rich stack with its rich data management capabilities that has tremendous value to our customers and are used in mission critical applications across the world. You will 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 solutions.

As part of the Research and Development function, the overall focus of the group is on competitive market and customer requirements, supportability, technology advances, product quality, product cost and time-to-market. Software engineers focus on new product development along with enhancements to existing products. This is an entry-level technical position that requires an individual to be systems-focused, creative, team-oriented, technologically savvy, able to work in a small and large cross-functional teams, willing to learn and driven to produce results.

Job Requirements

• A minimum of 2 years of familiarity with design and development of system software
• Proficiency in Programming Languages like Python, GO, Java, C/C++
• Programming skills in Python for implementing machine learning algorithms, data manipulation, and model development.
• Experience of working on Linux, AWS/Azure/GCP and Kubernetes
• Experience with No Sql Document Databases  (e.g., Mongo DB, Cassandra, Cosmos DB, Document DB)
• 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
• Understanding of Machine Learning Libraries and Frameworks: PyTorch, TensorFlow, Keras, Open AI, LLMs ( Open Source), LangChain etc
• Storage Domain experience is a plus
• Strong algorithms, data structures and multi-threaded programming expertise are required
• Experience with AI/ML frameworks like PyTorch or TensorFlow is a Plus
• Experience working with Rest APIs and Micro Services –  Flask, API frameworks (Nice-to-have).

General Requirements

• Expected to have sound software engineering practices and a passion for quality
• Must have a proven record of meeting tight deadlines without sacrificing quality
• Strong communication skills are essential, both written and oral, targeted at a wide variety of internal and external audiences
• Must develop good idea about customer deployment scenarios and experience in dealing with peer teams outside engineering
• Expected and assumed: independence, drive, motivation, willingness to go above and beyond, flexibility, and cooperative spirit.
• Work as a member of the team on projects involving development of new features, sustenance, handling engineering escalations.
• Participate in all phases of product development cycle: from product definition and design, through implementation, debugging, testing and early customer support
• Work collaboratively with other peer team members and other teams on the product like QA, Systemic Test Engineering support and other dependent engineering teams to understand customer use cases, deliver solutions and bring in the value from those teams into work done within the team.
• Should be able to work with other engineers and solve technical issue.

Education

• Typically requires a minimum of 2 years of related experience with a Bachelor's degree or 1 year of relevant experience with a Master's degree or A PhD without experience or Equivalent work experience.