Technical Services Engineer - German Speaking

Posted 6 Days Ago
Be an Early Applicant
6 Locations
Remote or Hybrid
55K-75K Annually
Junior
Healthtech
The Role
Deploys, integrates, and supports DeepHealth's AI medical imaging software across Europe. Gathers customer requirements, performs installations, troubleshoots systems, collaborates with development teams, documents configurations, and participates in on-call rotations to ensure reliable clinical deployments.
Summary Generated by Built In

Company Overview  

 

DeepHealth, a RadNet company, is focused on delivering AI-powered solutions that improve population health, optimize radiology workflows, and drive earlier detection of disease. Our portfolio spans breast, lung, brain, prostate, and thyroid imaging AI, deployed across enterprise imaging platforms and large screening programs. 

Job Summary 

The Technical Services Engineer, Europe is responsible for the deployment, integration, and technical support of DeepHealth's AI medical imaging software at customer sites across the European region. Working within the Delivery and Implementation team, this role gathers customer requirements, manages end-to-end software installations, and provides expert technical support to ensure a seamless customer experience. The Technical Services Engineer collaborates closely with development teams, contributes to the continuous improvement of deployment processes and workflows, and plays a key role in enabling customers to get the most from DeepHealth's clinical AI solutions.

.

Essential Duties and Responsibilities: 

  • Prepare, perform, and maintain customer installations of DeepHealth's AI medical imaging software, ensuring seamless integration with existing IT infrastructure.

  • Gather customer requirements and installation environment details to enable smooth and efficient deployments.

  • Provide expert technical support to customers and partners, troubleshooting and resolving incidents in a timely and professional manner.

  • Contribute to the continuous improvement of the Delivery and Implementation team's workflows, streamlining processes and enhancing the customer experience.

  • Be adaptable and available to support customers outside of regular working hours; participation in an 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 to support knowledge sharing and operational consistency.

  • Stay up-to-date with emerging technologies and industry trends relevant to platform engineering and medical imaging.

PLEASE NOTE: This is not an exhaustive list of all duties, responsibilities and requirements of the position described above. Other functions may be assigned and management retains the right to add or change duties at any time.

Minimum Qualifications, Education and Experience: 

• Bachelor's degree in Computer Science, Information Technology, or a related field (required).

• Minimum of 2 years of experience in systems engineering or a similar technical role (required); 5+ years of experience preferred.

• Proficiency in at least one scripting language such as Python, PowerShell, or Bash.

• Solid knowledge of Linux, networking, and security.

• Experience with public/private cloud platforms (GCP preferred), Kubernetes, and container orchestration.

• Linux shell scripting and Linux toolchain installation, upgrade, and maintenance.

• Experience troubleshooting Docker containers.

• Familiarity with CI/CD pipelines and automation tooling including Terraform, Ansible, and ArgoCD.

• Knowledge of monitoring platforms and observability tool stacks (GCP/AWS/Azure).

• Strong understanding of networking concepts including TCP/IP, DNS, DHCP, and VPN.

• Excellent problem-solving, analytical, and communication skills; able to work independently and as part of a cross-functional team.

• Proactive approach with the ability to manage multiple concurrent projects.

• Experience with DICOM standards, networking protocols, and medical imaging workflows strongly preferred, including PACS, RIS, modality integrations, and connectivity troubleshooting.

• Fluent in English and German.

Quality Standards  

• Communicates, cooperates, and consistently functions professionally and harmoniously with all levels of supervision, co-workers, visitors, and vendors.

• Demonstrates initiative, personal awareness, professionalism and integrity, and exercises confidentiality in all areas of performance.

• Follows all local, regional and country laws concerning employment.

• Follows all DeepHealth policies and procedures.

• Follows data privacy, compliance, safety and confidentiality standards at all times.

• Practices universal safety precautions.

• Promotes good public relations on the phone and in person.

• Adapts and is willing to learn new tasks, methods, and systems.

• Reports to work regularly as scheduled; consistently punctual with respect to working hours, meal and rest breaks, and maintains satisfactory personal attendance in accordance with DeepHealth guidelines.

• Completes job responsibilities in a quality and timely manner.

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.

Travel 

This position may require occasional travel.

Working Environment 

Hybrid/Remote

Accommodations 

Reasonable accommodations may be made to enable people with disabilities to perform the essential functions of the job.

Salary

€55,000 - €75,000

Skills Required

  • Bachelor's degree in Computer Science, Information Technology, or related field
  • Minimum of 2 years experience in systems engineering or a similar technical role
  • 5+ years experience in systems engineering (preferred)
  • Proficiency in at least one scripting language (Python, PowerShell, or Bash)
  • Solid knowledge of Linux, networking, and security
  • Experience with public/private cloud platforms (GCP preferred)
  • Experience with Kubernetes and container orchestration
  • Linux shell scripting and Linux toolchain installation, upgrade, and maintenance
  • Experience troubleshooting Docker containers
  • Familiarity with CI/CD pipelines and automation tooling (Terraform, Ansible, ArgoCD)
  • Knowledge of monitoring platforms and observability tool stacks (GCP/AWS/Azure)
  • Strong understanding of networking concepts (TCP/IP, DNS, DHCP, VPN)
  • Excellent problem-solving, analytical, and communication skills; able to work independently and in cross-functional teams
  • Proactive approach with ability to manage multiple concurrent projects
  • Experience with DICOM standards, PACS, RIS, modality integrations, and medical imaging workflows
  • Fluent in English and German
  • Willingness to be adaptable and available for on-call support outside regular hours
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The Company
HQ: Pak Shek Kok
306 Employees

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.

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