Software Engineer - Core Systems and Storage ; Individual Contributor Levels

Own Every Moment at Net App

At Net App, 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, Net App is where your journey begins.

We are hiring experienced Systems Software Engineers across multiple Net App engineering organizations. This pipeline posting is designed to attract strong C/C++ systems-level engineers who can contribute to core storage and data management technologies across ONTAP and other Net App products. Candidates will be considered for roles on several teams, including ONTAP, WAFL, Replication/HA, Protocols (NFS/SMB/SAN/NVMe), Distributed Systems, Cloud Platforms, and Performance Engineering.

Engineers in these roles design, build, and optimize foundational components of Net App’s storage stack. You will work on real-world problems involving file systems, storage internals, distributed systems, performance, scalability, reliability, and data integrity. Work may include developing new features, enhancing subsystems, analyzing complex code paths, improving throughput and latency, debugging customer issues, or driving proofs of concept. You will collaborate with senior engineers, product teams, hardware teams, and cloud engineering groups to deliver high-quality software used globally by enterprise customers.

This posting can support multiple levels (3, 4, and
5). Team and level placement will be determined during the interview process based on experience, technical depth, and demonstrated capabilities.

• Design, implement, and enhance features within ONTAP and related Net App storage systems
• Write high-quality C/C++ code that is efficient, reliable, and maintainable
• Analyze and improve existing code paths for performance, scalability, and correctness
• Debug complex issues using system-level tools, logs, tracing, and profiling
• Collaborate across engineering teams, including file system, protocol, cloud, hardware, and QA
• Participate in design and code reviews, contributing to engineering best practices
• Investigate performance bottlenecks and implement optimizations
• Support prototyping, research, and feasibility analysis for new ideas and features
• Communicate design decisions, technical findings, and progress clearly with peers
• Use AI‑assisted tools to accelerate design, development, testing, and troubleshooting

• Owns well‑defined components or features
• Implements end‑to‑end functionality with guidance
• Performs profiling, debugging, and testing across subsystems
• Contributes to design discussions and supports cross‑team integration
• Ramps quickly on ONTAP, WAFL, protocols, or storage technologies

• Designs and owns complex subsystems or multi‑sprint epics
• Drives cross‑team delivery with minimal supervision
• Mentors junior and mid‑level engineers
• Leads deep‑dive debugging and performance analysis
• Improves reliability, observability, and architecture patterns

• Leads major technical initiatives across teams or product line
• Defines long‑term architectural direction and technical strategy
• Resolves highly complex system‑wide issues in performance, data integrity, HA, scale, or protocols
• Mentors senior engineers and influences engineering culture
• Demonstrates deep domain expertise in file systems, operating systems, HA/replication, or distributed systems

• Strong proficiency in C/C++ for systems‑level development
• Understanding of data structures, algorithms, memory management, and concurrency
• Experience with Unix/Linux systems programming
• Experience with one or more of: file systems, storage systems, networking/protocol stacks, distributed systems, high‑availability architectures
• Stro…