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4 часа назад

Cloud Systems & AI Integration Engineer (AI)

92 600 - 154 400$
Формат работы
remote (только USA)
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

Текст:
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TL;DR
Cloud Systems & AI Integration Engineer (Azure/AI/IoT): Designing and maintaining secure Azure, edge-computing, and AI infrastructure for connected airport equipment with an accent on cloud services, GPU-enabled inference, IoT connectivity, and operational technology integration. Focus on building edge-to-cloud architectures, securing distributed systems, integrating computer vision and video analytics, and validating scalable production deployments.

Location: Remote, United States. Certain positions may require applicants to be U.S. Persons for access to controlled goods and technologies under ITAR or EAR.

Pay range: $92,600–$154,400 per year.

Company

hirify.global AeroTech provides aviation ground support products, gate equipment, and airport services for commercial airlines, airports, air-freight carriers, ground handlers, and military customers.

What you will do

  • Design, deploy, secure, and maintain Microsoft Azure infrastructure, including networking, storage, identity, monitoring, performance, and cost optimization.
  • Configure AI processing servers and GPU-enabled edge platforms for inference environments and emerging AI technologies.
  • Build and support secure edge-to-cloud architectures connecting PLCs, IoT gateways, edge PCs, cameras, and Azure services.
  • Deploy, monitor, troubleshoot, and improve distributed edge systems, remote management capabilities, computer vision infrastructure, and video analytics.
  • Develop infrastructure-as-code, CI/CD pipelines, automated testing, and standardized cloud deployment practices.
  • Collaborate with software, cloud, cybersecurity, product management, and field engineering teams on integrations, customer deployments, documentation, and technical standards.

Requirements

  • At least four years of experience in the field or a related area.
  • Bachelor’s degree in Computer Science, Information Technology, Computer Engineering, Electrical Engineering, or equivalent experience.
  • Hands-on Microsoft Azure experience with services such as AKS, IoT Hub, Event Hub, Functions, Databricks, Key Vault, Storage, Azure Monitor, or Azure AI services.
  • Windows/Linux administration and networking experience, including TCP/IP, VPNs, VLANs, firewalls, and secure remote connectivity.
  • Experience with containers, DevOps, software integration, Docker/Kubernetes, Git/GitHub Actions, CI/CD, REST APIs, Python, or C#.
  • Experience with industrial IoT, OT, edge computing, PLC communications, GPU systems, cybersecurity, computer vision, video analytics, or AI inference systems.

Culture & Benefits

  • Full-time position with a people-first culture.
  • Competitive total rewards package.
  • Opportunities to support professional growth and success.
  • Reasonable accommodation is available during the application process.

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