Cloud Systems & AI Integration Engineer

Overview

Cloud Systems & AI Integration Engineer responsible for designing, implementing, securing, and maintaining the technology foundation for connected airport intelligent solutions.

What you'll do

• Design, deploy, secure, and maintain Microsoft Azure infrastructure for AeroTech applications.
• Configure and support AI processing servers and GPU-enabled edge computing platforms.
• Develop secure edge-to-cloud architectures connecting PLCs, IoT gateways, edge devices, cameras, and Azure services.
• Support computer vision and video analytics infrastructure, including video processing and camera deployments.
• Deploy, monitor, troubleshoot, and improve distributed edge systems and remote management capabilities.
• Support cybersecurity assessments, vulnerability testing, system hardening, and Zero Trust initiatives.
• Build and maintain infrastructure-as-code, CI/CD pipelines, automated testing, and cloud deployment standards.

What you'll need

• 4+ years of experience in the field or a related area.
• Bachelor's degree in Computer Science, IT, 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 (TCP/IP, VPNs, VLANs, firewalls, secure remote connectivity).
• Containers/DevOps/software integration experience (Docker/Kubernetes, Git/GitHub Actions, CI/CD, REST APIs, Python, or C#).
• Industrial IoT/OT/edge computing experience including PLC communications (MQTT, OPC-UA, or Modbus) and GPU edge platforms (NVIDIA or Intel).
• Cybersecurity and AI/video experience including Zero Trust, OT cybersecurity, system hardening, computer vision, video analytics, or AI inference systems.

Details

• Location: Remote, United States.