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8 часов назад

Mid-Level Software Engineer (Cloud Infrastructure)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Mid-Level Software Engineer (Cloud Infrastructure): Building scalable backend services, APIs, and cloud-native infrastructure for simulation and collaboration platforms with an accent on workspace functionality, reliability, performance, and AI-enabled engineering workflows. Focus on developing distributed systems, improving deployment automation, and supporting GPU-accelerated scientific computing and interactive engineering experiences.

Location: On-site in Madison, Wisconsin, United States, or Watertown, Massachusetts, United States

Company

hirify.global is a technology startup developing ultra-fast simulation technology for aerospace, automotive, energy, semiconductors, quantum computing, and other advanced engineering applications.

What you will do

  • Build and maintain backend services, APIs, and platform infrastructure.
  • Develop workspace and workbench features for engineering and collaborative workflows.
  • Improve scalability, reliability, and performance across cloud systems.
  • Support AI-related infrastructure and intelligent tooling initiatives.
  • Enhance developer tooling, automation, and deployment systems.
  • Contribute to visualization and interactive engineering experiences while collaborating with software, infrastructure, and simulation teams.

Requirements

  • 3–6 years of professional software engineering experience.
  • Strong programming skills in one or more of Python, C++, Rust, Go, Java, or JavaScript.
  • Experience building backend systems, APIs, or distributed services.
  • Familiarity with Linux-based development environments and Git workflows.
  • Ability to independently drive technical projects and collaborate across teams.
  • Degree in Computer Science, Engineering, Physics, Mathematics, or a related technical field.

Nice to have

  • Experience with AWS, GCP, or Azure cloud infrastructure.
  • Familiarity with Docker, Kubernetes, or containerized environments.
  • Exposure to AI infrastructure, ML systems, or data engineering workflows.
  • Experience with performance optimization or distributed computing systems.
  • Interest in scientific computing, GPU acceleration, or simulation platforms.

Culture & Benefits

  • Significant ownership in a fast-growing, early-stage startup.
  • Access to experienced engineers and world-class mentors.
  • Competitive salary and meaningful equity.
  • 401(k) contribution and health insurance.
  • Opportunity to work on technically challenging products with real-world engineering applications.

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