Senior Software Engineer

About the Role

NetApp's Cloud AI team is building an enterprise AI agent platform that helps Fortune 500 companies automate complex workflows on their own data, across on-premises and multi-cloud environments. It brings together large language models, agentic frameworks, and production cloud engineering.

We are hiring a Senior Software Engineer to design systems, write production code, and make the foundational technical decisions that shape how the product works. You will work with engineers and product managers on a team where everyone builds and everyone ships, and you will own what you deliver from design into customers' hands.

What you will build

• Design and build AI agent systems that reason about complex enterprise environments, integrate with external tools and data sources, and take reliable action on behalf of users.
• Develop the backend services, APIs, and orchestration layers behind agent execution, knowledge bases and retrieval, tool integration, and multi-cloud operations.
• Build the developer-facing surfaces (APIs, SDKs, and tooling) that make the product usable and reliable for internal and external developers.
• Own features end to end: architecture, implementation, testing, deployment, and operational support in production.
• Make foundational design decisions for a new product: data models, API contracts, service boundaries, and the infrastructure patterns that decide how it scales.
• Work across the stack on a high-ownership team where everyone builds and everyone ships.

Experience Requirements

• 8+ years in software development.
• 3+ years building and operating cloud-native, fault-tolerant, highly scalable architectures, including service-oriented and cloud-native services (FaaS, PaaS)

Required Qualifications

• Designed and delivered cloud-native applications that meet real performance, scale, and reliability requirements.
• Strong server-side engineering in one or more of Node.js, Python, Java, Go, or Rust. Front-end experience (TypeScript, React or Angular) is a plus.
• Built RESTful APIs and microservices in production, backed by SQL and/or NoSQL data stores.
• Built and maintained CI/CD pipelines and infrastructure with tools such as Jenkins, GitHub Actions, or Azure DevOps.
• Applied security fundamentals: authentication and authorization (OAuth, SSO), encryption, and compliance.
• Made sound design decisions: you can weigh trade-offs, define system boundaries, and own the architecture of the components you build.
• Collaborate closely with teammates to integrate systems and ship high-quality work.
• Mentor less-experienced engineers as the team grows.

Preferred Qualifications

• LLM integration or AI agent frameworks: building systems that run model inference in production (tool calling, RAG, prompt engineering).
• Familiarity with agentic design patterns: tool-use protocols, context management, multi-step reasoning, and grounding models in real-time data.
• Built developer tools, extensions, or CLI tooling used by external developers.
• Cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), and infrastructure as code (Terraform, CloudFormation).
• Enterprise cloud infrastructure, data management, or storage systems.
• Built new systems end to end in a fast-paced environment, not just extended existing ones.

Education

• Bachelor's degree in Computer Science, Engineering, or related field; or equivalent practical experience.

Compensation:

The target salary range for this position is 170,000 - 253,000 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, 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.

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.