Principal Software Engineer

NetApp; Bellevue (WA); Hybrid; USD 228,000 - 339,000; Full time

Benefits offered by this job

Health insurance

401(k) plan

Stock options/RSU program

Paid time off

Job summary

NetApp is seeking a Senior Principal Engineer for its Cloud AI team to build an enterprise AI agent platform that connects LLMs, agentic frameworks, and production cloud engineering across on-prem and multi-cloud environments.

You will define architecture, orchestration, knowledge bases, tool-calling, and multi-cloud execution; own developer-facing APIs/SDKs; lead design reviews; mentor engineers and raise the technical bar while delivering on schedule.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 12+ years in software development.
• 7+ years hands-on with fault-tolerant, scalable cloud architectures (AWS/Azure/GCP).
• Strong server-side engineering in one or more of Node.js, Python, Java, Go, or Rust; frontend experience with TypeScript/React/Angular is a plus.

Responsibilities

• Define the product architecture: service boundaries, data models, API contracts, runtime design, integration patterns.
• Design and build core systems: agent orchestration, knowledge bases, tool-calling, multi-cloud execution.
• Own developer-facing surface: APIs, SDKs, tooling; ensure speed, reliability, and clarity.
• Lead technical execution: set standards, run design reviews, unblock engineers, maintain quality.
• Mentor engineers and raise the technical bar.

Skills

Server-side engineering

TypeScript

React/Angular

RESTful APIs

Microservices

CI/CD

Cloud security

Communication

Cross-functional collaboration

Education

Bachelor's degree in CS/Engineering

Tools

Docker

Kubernetes

Terraform

CloudFormation

Job description

Own Every Moment at 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.

Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function.

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.

What You Will Build

• Define the product architecture: service boundaries, data models, API contracts, runtime design, and the integration patterns that connect AI models to enterprise systems.
• Design and build the core systems: agent orchestration, knowledge bases and retrieval over enterprise data, tool-calling, multi-cloud execution, and the layers that tie them together.
• Own the developer-facing surface: the APIs, SDKs, and tooling that customers build on. It has to be fast, reliable, and clear to work with.
• Lead technical execution across the team: set engineering standards, run design reviews, unblock engineers, and hold the quality bar while the team ships on schedule.
• Mentor engineers and raise the technical bar of the team.

Experience Requirements

• 12+ years in software development.
• 7+ years hands-on with fault-tolerant, highly scalable cloud architectures, including service-oriented and cloud-native services (FaaS, PaaS) on at least one hyperscaler (AWS, Azure, or GCP).

Required Qualifications

• 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.
• Designed distributed systems, cloud-native products, or developer infrastructure and scaled them to production.
• Built and maintained CI/CD for large, interconnected deployment pipelines.
• Applied cloud security fundamentals: authentication and authorization (OAuth, SSO), encryption, and compliance.
• Made high-quality technical decisions under ambiguity, trading off performance, maintainability, cost, and time-to-market, and choosing a path the team can execute.
• Communicate clearly with executives and engineers, in person and in writing. You can align a team around a design and write technical documents that settle decisions.
• Work effectively across engineering, product, and leadership.

Preferred Qualifications

• Designed or built AI agent systems or LLM-powered products that run model inference in production: tool calling, RAG, prompt orchestration.
• Deep familiarity with agentic design patterns: tool-use protocols, context management, multi-step reasoning, and grounding models in live enterprise data.
• Built developer-facing products, APIs, or SDKs used by external customers at scale.
• Containerization and orchestration (Docker, Kubernetes) and infrastructure as code (Terraform, CloudFormation).
• Background in enterprise infrastructure, cloud data services, or storage systems, with a working understanding of how enterprise environments run at scale.
• Built a new product end-to-end inside a larger company.
• Prior experience as a principal engineer or technical lead in a high-performance engineering organization.

Education

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

Compensation

The target salary range for this position is 227,800 - 338,800 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.

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.