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NetApp Verified
Enterprise Software, Cloud Computing, Data Storage

Sr. Software Engineer

Washington, United StatesHybridFull TimeSenior$160,000–$215,000 /yrPosted 2 months agoVisa sponsorship available

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Role summary

NetApp's Cloud AI Team is seeking a Senior Software Engineer to design and build a new AI agent product for enterprise customers. This role involves developing backend services, APIs, and orchestration layers for AI agent execution, tool integration, and multi-cloud operations. The engineer will make foundational technical decisions, own end-to-end feature delivery, and work across the full stack to create scalable, robust AI solutions for automating complex workflows. The position requires strong cloud-native application design, backend development, CI/CD, system design, database integration, and security best practices.

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.
Job Summary
NetApp’s Cloud AI Team is building a new AI agent product for enterprise customers. The team is applying large language models, agentic frameworks, and multi-cloud engineering to help Fortune 500 companies automate complex workflows across enterprise on-premises and cloud deployments.
We are looking for a Senior Software Engineer to join the Cloud AI Team. In this role, you will design systems, write production code, and make foundational technical decisions that shape how the product works. You will be part of a high-performing team and collaborate with a talented group of engineers and product managers to deliver scalable, robust, and impactful AI solutions.
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 that power agent execution, tool integration, and multi-cloud operations.
  • Build developer-facing surfaces including APIs, SDKs, and tooling that make the product accessible, reliable, and intuitive for both internal and external users.
  • Own end-to-end delivery of features from design through production, including architecture, implementation, testing, deployment, and operational support.
  • Make foundational design decisions for a new product: data models, API contracts, service boundaries, and infrastructure patterns that will define how this system scales.
  • Work across the stack in a high-ownership team where everyone builds and everyone ships.

Required Qualifications

  • Design and deliver complex cloud-native applications that meet performance, scale, and reliability requirements.
  • Solid programming experience in server-side languages and frameworks (e.g., Node.js, Python, Java, Golang, or Rust). Experience with front-end technologies (HTML5, CSS3, JavaScript/TypeScript) and frameworks such as React or Angular is a plus.
  • Proven ability to develop RESTful APIs or microservices, work with web frameworks, and integrate with databases (SQL and/or NoSQL).
  • Experience building and maintaining CI/CD pipelines and infrastructure using tools such as Jenkins, GitHub Actions, or Azure DevOps.
  • Understanding of security best practices, including authentication/authorization (OAuth, SSO), encryption, and compliance standards.
  • Proven ability to make sound design decisions: you can evaluate trade-offs, define system boundaries, and own the architecture of the components you build.
  • Collaborate closely with team members to integrate systems and ensure high-quality deliverables for customer success.
  • Actively mentor and develop team members to build a strong, high-performing team.
  • Work as part of a larger team, collaborating closely with team members and leadership to ensure overall team objectives are met as ONE team.

Preferred Qualifications

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

Job Requirements

  • 8+ years of industry experience in software development.
  • 3+ years of experience in building and operating cloud-native, fault-tolerant, highly scalable architectures, including service-oriented architectures, cloud-native services (FAAS, PAAS), with at least one hyperscaler (Azure, AWS, GCP).

Education

  • Bachelor's degree in Computer Science, Engineering, or a related field. Master's Degree Preferred.

Compensation:
The target salary range for this position is $160,000-$215,000. 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.

Sample NetApp interview questions

  • 1

    How do you figure out what’s causing a server to use too much CPU?

    technicalmedium
  • 2

    Find the majority element in an array. Given an array of size n, find the majority element. The majority element is the element that appears more than ⌊n / 2⌋ times. You may assume that the majority element always exists in the array. Input: nums = [3, 2, 3] Output: 3 Explanation: The number 3 appears 2 times, which is strictly greater than n/2 (1.5).

    codingmedium
  • 3

    Maximum Depth of an N-ary Tree Find the maximum depth of an N-ary tree. Input: root = [1,null,2,null,3,null,4] Output: 4 Explanation: The tree is essentially a straight line, requiring a traversal that reaches a maximum depth of 4 layers.

    codingmedium
  • 4

    Lowest Common Ancestor on an N-ary Tree Find the lowest common ancestor on an N-ary tree. Input: root = [1,null,2,3,4], p = 2, q = 3 Output: 1 Explanation: Both nodes 2 and 3 are direct children of the root node 1, making 1 the lowest common ancestor.

    codingmedium
  • 5

    Maximum Subarray Sum Find the maximum subarray sum in an integer array. Input: nums = [-3,-4,-1,-2] Output: -1 Explanation: Kadane's algorithm correctly identifies that the single isolated element -1 provides the highest possible sum.

    codingmedium

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