Are you looking for a new challenge as a System Engineer and excited to take ownership of designing, maintaining, and optimizing our IT systems and infrastructure? Do you thrive on ensuring reliability, security, and scalability across the environments that power DeepHealth’s operations worldwide? Are you passionate about driving continuous improvement, streamlining processes, and collaborating with cross-functional teams to deliver efficient, compliant, and high-performing systems? Then please read on…
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).
Collaborate with development teams to ensure seamless deployment and integration of applications.
Document system configurations, procedures, and best practices.
Stay up-to-date with emerging technologies and industry trends.
Bachelor's degree in Computer Science, Information Technology, or a related field.
Minimum of 5 years of experience in system engineering or a similar role.
Proficiency in at least one scripting language (e.g., Python, PowerShell, Bash).
Solid knowledge of Linux, networking, security.
Public/private cloud (ideally GCP), Kubernetes and container orchestration
Linux shell and shell scripting, Linux tool chain installation, upgrade and maintenance
Experience in docker container troubleshooting
familiarity with CI/CD pipeline integrated with automation tool stacks Terraform, Ansible and ArgoCD
Knowledge of monitoring platforms (GCP/AWS/Azure observability tool stacks)
Strong understanding of networking concepts (TCP/IP, DNS, DHCP, VPN) is a plus.
Excellent problem-solving, analytical, and communication skills.
Ability to work independently and as part of a team.
Proactive and comfortable with shuffling between multiple projects.
Promotes good public relations on the phone and in person.
Physical Demands
This position often requires sitting, standing, walking, bending, twisting, reaching with hands and arms, using hands and fingers, handling, or feeling, speaking, listening, and high-level cognitive thinking. Also, must be able to lift up to 10 pounds occasionally.
Working Environment
Hybrid/Remote
Salary Range:
€70,000 - €80,000 Per year
60,000 GBP - 70,000 GBP
Skills Required
- Bachelor's degree in Computer Science, Information Technology, or related field
- Minimum of 5 years of experience in system engineering or similar role
- Proficiency in at least one scripting language (Python, PowerShell, Bash)
- Solid knowledge of Linux, networking, and security
- Experience in public/private cloud (ideally GCP), Kubernetes, and container orchestration
- Familiarity with CI/CD pipelines and automation tools (Terraform, Ansible, ArgoCD)
- Knowledge of monitoring platforms (GCP/AWS/Azure)
- Strong understanding of networking concepts (TCP/IP, DNS, DHCP, VPN)
- Excellent problem-solving and communication skills
What We Do
DeepHealth is a wholly-owned subsidiary of RadNet, Inc. (NASDAQ: RDNT) and serves as the umbrella brand for all companies within RadNet’s Digital Health segment. DeepHealth provides AI-powered health informatics with the aim of empowering breakthroughs in care through imaging. Building on the strengths of the companies it has integrated and is rebranding (i.e., eRAD Radiology Information and Image Management Systems and Picture Archiving and Communication System, Aidence lung AI, DeepHealth and Kheiron breast AI and Quantib prostate and brain AI), DeepHealth leverages advanced AI for operational efficiency and improved clinical outcomes in lung, breast, prostate, and brain health. At the heart of DeepHealth’s portfolio is a cloud-native operating system – DeepHealth OS – that unifies data across the clinical and operational workflow and personalizes AI-powered workspaces for everyone in the radiology continuum. Thousands of radiologists at hundreds of imaging centers and radiology departments around the world use DeepHealth solutions to enable earlier, more reliable, and more efficient disease detection, including in large-scale cancer screening programs. DeepHealth’s human-centered, intuitive technology aims to push the boundaries of what’s possible in healthcare.
