Data Infrastructure Engineer

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.

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. Join teams that innovate to elevate, drive results, and excel together across every function.

We are seeking an Intelligent Data Infrastructure Engineer to design, develop, and optimize the core software that powers next-generation data infrastructure for enterprise and AI workloads. The ideal candidate has deep expertise in systems programming using C, a strong understanding of operating system internals, distributed systems, and data infrastructure, and is familiar with modern AI agents and AI-native development workflows.

This role focuses on building scalable, high-performance infrastructure that manages, protects, and accelerates data across on-premises, cloud, and AI environments.

• Design and develop core infrastructure software for intelligent data platforms, including storage, data management, caching, metadata services, and distributed systems.
• Develop high-performance, reliable software in C, C++, Python with an emphasis on scalability, efficiency, and resiliency.
• Build and optimize data movement, replication, protection, and lifecycle management capabilities.
• Design infrastructure that supports AI/ML pipelines, large language model (LLM) training, inference, and retrieval-augmented generation (RAG) workloads.
• Collaborate with hardware, platform, networking, and cloud engineering teams to deliver end-to-end infrastructure solutions.
• Optimize system performance through profiling, benchmarking, and low-level software optimization.
• Leverage modern AI agents to improve software development, testing, debugging, documentation, and operational automation.
• Participate in architecture reviews, code reviews, and technical design discussions.
• Develop automated testing, observability, and reliability frameworks.

• Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field.
• 12+ years of experience developing systems software, operating systems, storage platforms, or distributed infrastructure.
• Expert-level programming skills in C/C++, Python
• Strong understanding of:
  • Operating systems
  • Memory management
  • Multithreading and concurrency
  • Networking fundamentals
  • Distributed systems
  • Performance optimization
• Experience developing software on Linux.
• Strong debugging and performance analysis skills.

• Experience with storage systems, file systems, object storage, distributed data platforms, or cloud infrastructure.
• Knowledge of AI infrastructure and data pipelines supporting GPU clusters and large-scale AI workloads.
• Experience with Rust, Go.
• Familiarity with Kubernetes, containers, and cloud-native architectures.
• Experience using AI coding assistants and autonomous AI agents (such as Git Hub Copilot, OpenAI Codex, Claude Code, or similar tools) to accelerate software development, testing, and debugging.

• Strong systems thinking and software architecture skills.
• Excellent analytical and problem-solving abilities.
• Passion for building high-performance infrastructure software.
• Effective communication and collaboration skills.
• Ability to work across cross-functional engineering teams.

The target salary range for this position is 196, USD. 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…