AI Agent Software Engineer: Content Automation

About NetApp

At NetApp, your ideas power innovation. We lead in intelligent data infrastructure, delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. 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.

We are an AI-forward organization where team members are expected to leverage responsible AI to improve customer outcomes and create internal efficiencies. Our culture celebrates mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership, providing flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed—they drive everything we do.

About the Role

The Information Engineering team creates and maintains technical documentation published on docs.netapp.com, the company's most visited website. Our team of strategic thinkers and creative problem-solvers owns NetApp's technical documentation infrastructure as well as the pipelines that integrate technical content into products, sites, and AI tools.

In this role, you will partner with content standards leads, UX designers, engineers, product managers, and data scientists to identify high-value opportunities for AI in the technical content lifecycle. You will design, build, and launch agent-driven automated workflows that gather, normalize, and optimize source content for publishing and downstream reuse. Your work will involve building AI-assisted semantic enrichment pipelines to improve content findability, consistency, and performance, while developing agents and checks to enforce content standards.

You will define governance patterns to ensure responsible, reliable AI outcomes and use signals like quality metrics and stakeholder feedback to continuously improve agent behavior. Candidates should be prepared to discuss and demonstrate how they have used AI tools or models in past roles to improve productivity, quality, and innovation, including specific examples, quantified results, and the governance practices they followed.

Hiring Process

Candidates should be prepared to discuss and demonstrate their experience with AI tools, specifically focusing on how they have improved productivity, quality, and innovation in previous roles. The interview process will likely include a deep dive into your past projects, quantified results, and the governance practices you followed.

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, genetic information, pregnancy, protected veteran status, and any other protected classification.

Work Environment

At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. Most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.