Sr. Software Engineer

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

NetApp is uniquely placed in the industry and in a unique position partnering with major hyper scalers (AWS, GCP and Azure) which adds a new challenge for driving innovation in the space of Service Fundamentals. Cloud Storage team is embarking on a new charter to address these challenges for Cloud native applications, of simplifying customer operations and being a key differentiator. Bring in your experience and expertise for the new frontier, to build best in class SaaS applications, woven with architecture and design that are deployed across multiple hyper scalers. This is an opportunity to challenge yourself with cutting-edge technologies and thrive.

As a Staff Engineer in NetApp’s Cloud Storage organization, you will lead and execute our most challenging and complex projects. You will have an opportunity to work on AWS, Azure and GCP and use cutting edge technology to provide innovative solutions. You will be responsible for architecture, decomposing problems into simple solutions, understanding cloud architecture, performance, scalability, bringing engineering best practices, and testing methods to the team.

Experience Requirements

• 12+ years in software development.
• 5+ years hands-on with fault-tolerant, highly scalable cloud architectures, including service-oriented and cloud-native services (FaaS, PaaS) on at least one hyperscaler (AWS, Azure, or GCP).

Required Qualifications

• Ability to build end to end system on major initiatives.
• Design distributed systems, cloud-native products and scale them to production.
• Proactive and self-driven, with strong technical judgment.
• Expertise in providing detailed design while contributing to implementation, design and code reviews.
• Make high-quality day to day technical decisions under ambiguity, trading off performance, maintainability, cost, and time-to-market, and choosing a path the team can execute.
• Strong experience in one or more of Node.js, Python, Java, Go, or Rust. Front-end experience (TypeScript, React or Angular) is a plus.
• Work effectively across engineering, product, and leadership
• Excellent communication skills, with the ability to effectively engage with customers, stakeholders, and the engineering community.

Preferred Experience

• Preference for experience in designing data analytics, data migration systems & storage platforms.
• Preference for experience with filesystems, or file/cloud storage protocols. Experience in NFS/SMB/iSCSI protocols.
• Built developer-facing products, APIs, or SDKs used by external customers at scale.
• Containerization and orchestration (Docker, Kubernetes) and infrastructure code (Terraform, CloudFormation).
• Prior experience as a technical lead in a high-performance engineering organization.

Education

• Bachelor's degree in technical area of study: engineering disciplines
• Master's degree in technical field such as engineering, software development, preferred with less additional experience stated above

Compensation

The target salary range for this position is $220,000-265,000. 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 (PTO)
• various Leave options
• Performance-Based Incentives
• employee stock purchase plan
• 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.

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.