> Markdown version of [/jobs/ext/3691402-intelligent-data-infrastructure-engineer](https://www.wearedevelopers.com/jobs/ext/3691402-intelligent-data-infrastructure-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Intelligent Data Infrastructure Engineer

- **Company:** NetApp, Inc.
- **Location:** San Jose, CA, United States
- **Salary:** $196,350.0 - $292,600.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Automation of Tests, C++ (Programming Language), Cloud Computing, Cloud Engineering, Computer Clusters, Code Review, Computer Programming, Computer Engineering, Extract Transform Load (ETL), Software Debugging, Linux, File Systems, Distributed Data Store, Distributed Systems, Memory Management, Data Intelligence, Python (Programming Language), Metadata, Networking Basics, Performance Tuning, Software Architecture, Software Engineering, AI Infrastructure, Multithreading, GitHub Copilot, Large Language Models, Claude Code, Concurrency, Caching, AI Coding Agents, Agentic-AI, Kubernetes, Information Technology, Data Management, Machine Learning Operations, OpenAI Codex, Data Pipelines
- **Published:** October 11, 2026
- **Apply:** https://www.juju.com/job/1_netapp2-99053788576

## About the Role

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. **Skills and Qualifications** **Required Skills** + 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. **Preferred Qualifications** + 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 GitHub Copilot, OpenAI Codex, Claude Code, or similar tools) to accelerate software development, testing, and debugging. **Desired Skills** + 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.

## Description

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