OVERVIEW

At NetApp, we have a history of helping customers turn challenges into business opportunities. That’s because we bring new thinking to age-old problems, like how to use data most effectively in the most efficient possible way. As an Engineer with NetApp, you’ll have the opportunity to work with modern cloud and container orchestration technologies in a production setting. You’ll play an important role in scaling systems sustainably through automation and evolving them by pushing for changes to improve reliability and velocity.

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 AI/ML 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 enhancements to existing products as well as new product development.
This is a mid-level technical position that requires an individual to be broad-thinking, 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

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

EDUCATION

Typically requires a minimum of 5-7 years of related experience with a Bachelor’s degree a Master’s degree; or a PhD with relevant experience.
Compensation:
The target salary range for this position is 130,900 - 194,700 USD. The salary offered will be determined by the candidate’s location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover 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), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process.
At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.

Please refer the Job description for details