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.

Responsibilities

• 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.

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).
• 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.

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.
• Familiarity with cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), and infrastructure as code (Terraform, CloudFormation).
• Experience with enterprise cloud infrastructure, data management, or storage systems.
• Built new systems end to end in a fast-paced environment, not just extended existing ones.

Preferred Qualifications

• Built developer tools, extensions, or CLI tooling used by external developers.
• Experience with enterprise cloud infrastructure, data management, or storage systems.
• Built new systems end to end in a fast-paced environment, not just extended existing ones.

Pay

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.

Schedule

This role is currently hybrid, with some level of in-office and/or in-person expectations. These expectations will be shared during the recruitment process.