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1 день назад

Intelligent Data Infrastructure Engineer (C/C++)

196 350 - 292 600$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Intelligent Data Infrastructure Engineer (C/C++): Building and optimizing scalable infrastructure software for enterprise, cloud, and AI workloads with an accent on storage systems, distributed data management, and high-performance systems programming. Focus on designing data movement and replication capabilities, supporting LLM and RAG workloads, and solving complex performance, concurrency, reliability, and observability challenges.

Location: San Jose, California, United States; hybrid working environment with in-office and in-person expectations.

Salary: $196,350–$292,600 per year.

Company

hirify.global provides intelligent data infrastructure, unified storage, integrated data services, and cloud solutions for enterprise and AI workloads.

What you will do

  • Design and develop core infrastructure software for storage, data management, caching, metadata services, and distributed systems.
  • Build high-performance software in C, C++, and Python, focusing on scalability, efficiency, and resiliency.
  • Develop data movement, replication, protection, and lifecycle management capabilities.
  • Design infrastructure for AI/ML pipelines, LLM training and inference, and RAG workloads.
  • Collaborate with hardware, platform, networking, and cloud engineering teams on end-to-end solutions.
  • Improve performance, automated testing, observability, reliability, debugging, and operational automation using profiling and AI agents.

Requirements

  • 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++ and Python.
  • Strong knowledge of operating systems, memory management, multithreading, concurrency, networking, distributed systems, and performance optimization.
  • Experience developing software on Linux, with strong debugging and performance analysis skills.
  • Strong systems thinking, software architecture, analytical, communication, and collaboration skills.

Nice to have

  • Experience with storage systems, file systems, object storage, distributed data platforms, or cloud infrastructure.
  • Knowledge of AI infrastructure, GPU clusters, and large-scale AI data pipelines.
  • Experience with Rust or Go, plus Kubernetes, containers, and cloud-native architectures.
  • Experience using AI coding assistants and autonomous AI agents for software development, testing, and debugging.

Culture & Benefits

  • Hybrid work environment designed to support collaboration and flexibility.
  • Health, life, retirement or pension, paid time off, and leave benefits, subject to regional policies.
  • Performance-based incentives, employee stock purchase plan, and potential restricted stock units.
  • Inclusive culture that values initiative, ownership, impact, creativity, and collaboration.

Hiring process

  • Applications are reviewed only when submitted through the company website.
  • Selected stages of the process may use AI tools to support human application evaluation and candidate selection.

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