Software Engineer
Listed on NetApp’s official careers site. Listed as of October 18, 2026. Check that it is still open and apply there.
Apply on NetApp’s careers site →Job description
Job Summary
NetApp GCNV builds cloud-scale products used by thousands of customers, blending cutting-edge AI with world-class data infrastructure. Join us to solve hard problems in a collaborative, high-impact environment. We're hiring a Senior AI Engineer who can design and ship production-grade AI/ML solutions and the distributed systems that power them. You'll own features end-to-end from design and coding to deployment and monitoring and mentor other engineers along the way
What You'll Do
Design, build, and deploy AI/ML solutions to production at cloud scale.Architect backend services, data pipelines, and REST APIs that power AI features.
Own the full lifecycle
design, development, testing, deployment, and monitoring. Mentor engineers and collaborate with cross-functional stakeholders. Drive bug fixes, RCAs, and automation; keep pace with the latest in AI and cloud-native tech.Uphold data privacy, security, and ethical AI standards. Must-Haves 8 years building production software, with a strong AI/ML track record. Proficiency in Python and one of Java, Go, C, or C++ . Hands-on with TensorFlow, PyTorch, or scikit-learn .
Strong fundamentals
data structures, algorithms, system design, REST APIs, Linux. Experience with AWS/Azure/GCP and Docker/Kubernetes .Solid grasp of statistics, data mining, and visualization. Excellent problem-solving and communication skills. Nice-to-Haves Led AI projects from concept to production.Experience with data protection / backup & restore , filesystems , or distributed systems . Deep cloud infra knowledge (storage, databases, caching, networking, load balancers).Git and agile workflows; publications or open-source contributions.
Education
IC - Typically requires a minimum of 8 years of related experience.Mgr & Exec - Typically requires a minimum of 6 years of related 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 federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment—you'll make it.
The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security.
Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed—they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website.
This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support—rather than replace—human decision-making.
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