4 часа назад
Cloud Systems & AI Integration Engineer (AI)
92 600 - 154 400$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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