Senior Technical Support Engineer, Mobile at rapidai

RapidAI is the trusted leader in deep clinical AI, helping hospitals deliver faster, more informed care through intelligent imaging and integrated workflows. The Rapid Enterprise™ Platform supports disease states across the care spectrum, but it’s our clinical depth that drives the most meaningful impact — improving decision-making, patient outcomes, and health-system performance. Used by more than 2,500 hospitals in over 100 countries and backed by 700+ clinical studies, including research that helped expand national stroke-treatment guidelines, RapidAI is the most clinically validated AI platform in healthcare. .  What you will bring: • 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. 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. 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.