Intelligent Data Infrastructure Engineer

We are seeking anIntelligent Data Infrastructure Engineerto 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 usingC a strong understanding of operating system internals distributed systems and data infrastructure and is familiar with modernAI agentsand 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 inC 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.

Required Skills

• Bachelors or Masters 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 inC/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.