Lead Technical Support Engineer, Cloud at RapidAI

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

HealthcareIndustries

Requirements

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

Responsibilities

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

Skills

Key technologies and capabilities for this role

AWSKubernetesDockerLinuxVMwareNutanixHyper-VRookCephTerraformAnsibleWireshark

Questions & Answers

Common questions about this position

What experience level is required for this Lead Technical Support Engineer role?

The role requires 7–10 years of hands-on experience with AWS, Linux systems engineering, and Kubernetes/Docker/container orchestration, plus at least 5 years of proven ability to lead and mentor teams.

What key technical skills are needed for this position?

Candidates need strong expertise in AWS, Linux, Kubernetes and Docker, virtualization technologies like VMware/Nutanix/Hyper-V, cloud-native storage such as Rook/Ceph, IaC tools like Terraform/Ansible, Python scripting, and network troubleshooting.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What does the company culture emphasize for this role?

RapidAI emphasizes a customer-obsessed culture, inclusivity, diversity, collaboration with engineering and support teams, and mentoring junior engineers.

RapidAI

AI software for vascular condition detection

About RapidAI

With a pivotal role in enhancing clinical decision-making, this company offers a robust AI-driven platform that assists in detecting and managing severe vascular and neurovascular conditions. Leveraging intelligence from over 10 million scans, it empowers healthcare professionals in more than 2,000 hospitals to make quicker, more informed decisions. Working here not only places you at the forefront of medical technology partnerships but also within a culture dedicated to impactful innovation and elevated patient care.

Menlo Park, CaliforniaHeadquarters

2012Year Founded

$97.7MTotal Funding

SERIES_CCompany Stage

AI & Machine Learning, HealthcareIndustries

201-500Employees