Lead Technical Support Engineer, Cloud

RapidAI is transforming clinical decision-making with the world’s most advanced AI-driven imaging and care coordination solutions. RapidAI empowers care teams with the deepest clinical insights to accelerate diagnosis, streamline workflows, and improve patient outcomes. Running on the secure and scalable Rapid Edge Cloud, RapidAI solutions drive efficiency, enhance collaboration, and enable faster, more confident treatment decisions. Trusted by hospitals worldwide, RapidAI is setting new standards for coordinated, life-saving care by helping hospitals do and see more with ease.

What You Will Do:

• Lead the design, deployment, and maintenance of infrastructure in AWS and hybrid cloud environments.
• Drive platform modernization using Kubernetes, Docker, and Linux-based systems.
• Oversee integration of virtualization technologies including VMware, Nutanix, and Hyper-V.
• Implement and manage cloud-native storage solutions such as Rook/Ceph.
• Develop automation using tools such as Terraform and Ansible.
• Collaborate with engineering teams to ensure production readiness of new features and services—on both cloud and on-prem deployments.
• Troubleshoot complex infrastructure and network issues; utilize tools like Wireshark to identify and resolve performance bottlenecks.
• Support edge computing platforms and work closely with app teams to understand how infrastructure choices impact personas, workflows, and integrations.
• Collaborate with support and engineering to reproduce, triage, and resolve customer issues across infrastructure layers.
• Use emerging technologies including AI-driven tooling to enhance observability, productivity, and scalability of platform operations.
• Contribute to the evolution of a customer-obsessed culture, mentoring and developing junior engineers and platform specialists

What You Will Bring:

• 7–10 years of hands-on experience with AWS (Azure experience is a plus).
• 7–10 years of experience in Linux systems engineering.
• 7–10 years working with Kubernetes, Docker, and container orchestration.
• Strong background in virtualization: VMware, Nutanix, Hyper-V.
• Experience with cloud-native storage technologies (e.g., Rook/Ceph).
• Proficient in Python scripting for automation and tooling.
• Demonstrated expertise in infrastructure as code using tools like Terraform and Ansible.
• Experience with network troubleshooting and diagnostic tools.
• Familiarity with healthcare imaging systems, DICOM routers, and Vendor Neutral Archives (VNA) is highly desirable.
• Proven ability to lead and mentor high-performing teams for at least 5 years.

RapidAI is committed to creating an inclusive and diverse workplace. We provide equal employment opportunities to all employees and applicants and prohibit discrimination and harassment of any type in regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.