Senior Software Engineer

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. They are hiring a Senior Software Engineer to design systems, write production code, and make foundational technical decisions that shape the product's functionality.

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