Systems Engineer

Summary

Join our team as an AI Medical Imaging Infrastructure Support Specialist! This highly flexible role offers broad exposure to systems and processes within a collaborative environment. You will be responsible for supporting the installation and maintenance of advanced AI medical imaging software, troubleshooting issues, and gathering customer requirements. The position requires strong Linux, networking, and cloud knowledge, along with experience in containerization and automation. A Bachelor's or Master's degree in a relevant field is required. This role may involve on-call support outside of regular working hours.

Requirements

• Solid knowledge of Linux, networking, security
• Public/private cloud, Kubernetes and container orchestration
• Linux shell and shell scripting, Linux tool chain installation, upgrade and maintenance
• Experience in docker container deployment and troubleshooting
• Familiarity with one or more automation tool stack (Such as Terraform, Ansible, ArgoCD, Jenkins etc)
• Troubleshooting and performance tuning in Linux and applications
• Knowledge of monitoring platforms (Zabbix, GCP/AWS/Azure observability tool stacks)
• A Bachelor's or Master's degree in Computer Science, Computer Engineering, Science, Math or equivalent experience

Responsibilities

• Prepare, perform, and maintain customer installations of our advanced AI medical imaging software, ensuring seamless integration with existing IT infrastructure
• Gather customer requirements and installation environment details for smooth, efficient deployments
• Provide expert technical support to customers and partners, troubleshooting and resolving incidents
• Contribute to continuous improvement of the Delivery and Implementation team's workflows, aiming to streamline processes and enhance the customer experience
• Be adaptable and available to support customers outside of regular working hours (on-call rotation may be required)

Preferred Qualifications

• Knowledge of project management tool chains such as Jira and source code control via Git
• Working knowledge of authentication, and secrets management
• Knowledge of VPN and tunnels
• Best practices for handling Protected Health Information
• Knowledge and experience of API, integration and data pipelines
• Capacity planning, for both horizontal and vertical scaling on a platform