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Why You're a Fit
Job Description
Job Summary
Are you a passionate engineer who thrives on tackling engineering challenging problems? Do you love exploring new technologies and constantly learning? If you're excited to build cutting-edge products and have a blend of R&D expertise with a strong execution mindset, we want to meet you!
At NetApp, Data Intelligence and AI BU, we are on a mission to revolutionize the way our customers leverage data for AI workflows. Our AI Data Engine team is at the forefront of developing the next-generation data platform—a platform that empowers users to seamlessly run AI workflows on their data.
What are we Looking For:
Passion for Innovation: A deep-seated enthusiasm for solving complex engineering challenges.
Continuous Learner: Eagerness to immerse yourself in new technologies and continuously expand your skillset.
Product Mindset: A drive to build robust, scalable products that make a real impact.
R&D Expertise Meets Execution: Experience in research and development paired with a pragmatic approach to delivering solutions.
If building transformative products and driving technology forward excites you, let’s connect and explore how you can be a part of our dynamic team!
Job Requirements
- Proficiency in programming languages such as Go/Golang; Java is also acceptable.
- Strong experience in distributed systems and loosely coupled microservices architecture.
- Hands-on experience with NoSQL document databases such as MongoDB, Cassandra, Cosmos DB, or DocumentDB.
- Expertise in building microservices using containers, Kubernetes, REST APIs, and related API frameworks.
- Experience with machine learning libraries and frameworks including PyTorch, TensorFlow, Keras, OpenAI, open-source LLMs,
- Expertise in building microservices using containers, Kubernetes, REST APIs, and related API frameworks.
- Experience with machine learning libraries and frameworks including PyTorch, TensorFlow, Keras, OpenAI, open-source LLMs, LangChain, etc.
- Proven experience working in Linux environments and cloud platforms such as AWS, Azure, or GCP.
- Strong knowledge of Kubernetes including control plane, auto-scaling, orchestration, and containerization (mandatory).
- Understanding of big data technologies such as Spark, Hadoop, and distributed storage systems for large-scale data processing and parallel computing.
- Demonstrated experience working on mid- to large-scale projects.
- Strong foundation in computer architecture, data structures, and programming best practices.
- Ability to actively participate in technical discussions within the team and across business units.
- Willingness to take on additional responsibilities that contribute to team, department, and company goals.
- Creative, team-oriented, quick learner with a strong drive to deliver results.
- Experience with AI/ML frameworks such as PyTorch or TensorFlow is a plus
Education
- Typically requires a minimum of 8-12 years of related experience with a Bachelor’s degree and a Master’s degree; or a PhD with relevant experience.
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.
Equal Opportunity Employer:
NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification.
Why NetApp?
We are all about helping customers turn challenges into business opportunity. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches.
We enable a healthy work-life balance. Our volunteer time off program is best in class, offering employees 40 hours of paid time off each year to volunteer with their favourite organizations. We provide comprehensive benefits, including health care, life and accident plans, emotional support resources for you and your family, legal services, and financial savings programs to help you plan for your future. We support professional and personal growth through educational assistance and provide access to various discounts and perks to enhance your overall quality of life.
If you want to help us build knowledge and solve big problems, let's talk.