Principal Cloud AI Platform Architect

NetApp; Bellevue (WA); On-site; USD 227,800 - 338,800; Full time

Job summary

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. We seek a Principal Engineer to own architecture, shape engineering direction, and contribute hands‑on production code.

You will design core systems for agent orchestration, data retrieval, tool‑calling, and multi‑cloud execution, while mentoring the team and aligning product vision with delivery plans.

Qualifications

• 12+ years of software development experience.
• 7+ years in scalable cloud architectures on at least one hyperscaler.

Responsibilities

• Define the product architecture: service boundaries, data models, API contracts, runtime design, and 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. Ensure speed, reliability, and clarity.
• Lead technical execution across the team: set engineering standards, run design reviews, unblock engineers, and maintain quality on schedule.
• Mentor engineers and raise the technical bar of the team.

Skills

Server-side engineering

Cloud architectures

RESTful APIs

CI/CD pipelines

Security fundamentals

Communication

Education

Bachelor's degree in CS/Engineering

Tools

Node.js

Python

Java

Go

Rust

Docker

Kubernetes

Job description

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. We seek a Principal Engineer to own architecture, shape engineering direction, and contribute hands‑on production code.

You will design core systems for agent orchestration, data retrieval, tool‑calling, and multi‑cloud execution, while mentoring the team and aligning product vision with delivery plans.