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.

Job Summary

We are building the next generation of autonomous, AI-powered enterprise systems, enabling organizations to automate complex workflows, derive insights from vast amounts of data, and unlock new levels of productivity through intelligent agents.We are looking for an experienced Senior Backend Engineer to help design, build, and scale our cloud-native SaaS platform. You will be part of a highly skilled engineering team developing distributed systems that power autonomous agentic workflows for enterprise customers worldwide.This is an opportunity to work at the intersection of cloud computing, large-scale distributed systems, and AI, building production-grade services that leverage cutting-edge technologies and modern engineering practices.

Responsibilities:

• Design, develop, and maintain scalable backend services and APIs.
• Build cloud-native SaaS solutions that serve enterprise-scale workloads.
• Architect and implement distributed systems with a focus on reliability, performance, and security.
• Develop and operate microservices running on Kubernetes.Collaborate with product managers, architects, AI engineers, and SRE teams to deliver end-to-end solutions.
• Design and optimize data models, storage layers, and database performance.Integrate AI services and agentic workflows into core platform capabilities.
• Contribute to technical design reviews, code reviews, and engineering best practices.Drive operational excellence through monitoring, observability, automation, and CI/CD pipelines.
• Stay current with emerging technologies in cloud computing, distributed systems, and AI.
  
  
  

Job Requirements

Preferred Qualifications

• 8+ years of software development experience with a strong focus on backend systems.
• Strong proficiency in Node.js and TypeScript.
• Hands-on experience building and operating cloud-based SaaS platforms.
• Experience designing and developing distributed systems and microservice architectures.
• Deep knowledge of AWS services and cloud-native application development.
• Experience with Kubernetes (K8s) and containerized workloads.
• Strong experience with relational databases such as PostgreSQL, MySQL, or SQL Server.
• Experience with RESTful APIs and event-driven architectures.
• Proficiency with GitHub, CI/CD pipelines, and modern software development practices.
• Experience working with AI-powered applications or integrating AI services into production systems.
• Strong problem-solving skills and ability to drive complex technical initiatives.
• Experience with Microsoft Azure and/or Google Cloud Platform (GCP).
• Proven track record of deploying and operating AI/ML workloads in production.
• Experience with agentic systems, AI orchestration frameworks, RAG architectures, or LLM-based applications.
• Knowledge of observability and monitoring tools.
• Experience with infrastructure-as-code and automation technologies.
• Familiarity with security, compliance, and enterprise-scale software requirements.
  
  
  
What We Offer


• The opportunity to build cutting-edge autonomous AI systems for enterprise customers.
• A highly technical and collaborative engineering culture.
• Ownership of large-scale, impactful projects.
• Exposure to the latest advancements in AI, cloud infrastructure, and distributed computing.
• Competitive compensation and growth opportunities.
  
  
  
If you're passionate about cloud technologies, distributed systems, and the future of autonomous AI, we'd love to hear from you.

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.

Submitting an Application

To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application.

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.