Lead Technical Support Engineer, Cloud

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

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 its our clinical depth that drives the most meaningful impact improving decision-making patient outcomes and health-system performance. Used by more than 2500 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 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 serviceson 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:

710 years of hands-on experience with AWS (Azure experience is a plus).
710 years of experience in Linux systems engineering.
710 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.

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 serviceson 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:

710 years of hands-on experience with AWS (Azure experience is a plus).
710 years of experience in Linux systems engineering.
710 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.