System Engineer, Aidence

£60-70k

€70,000 - €80,000 Per year for Amsterdam applicants

AWS

Docker

Kubernetes

GCP

Python

Bash

Linux

Terraform

Ansible

Azure

Powershell

Senior and Expert level

Amsterdam

London

AI-powered clinical applications for the lung cancer pathway

Be an early applicant

AI-powered clinical applications for the lung cancer pathway

21-100 employees

HealthcareB2BArtificial IntelligenceMachine LearningSaaSMedTech

Be an early applicant

£60-70k

€70,000 - €80,000 Per year for Amsterdam applicants

AWS

Docker

Kubernetes

GCP

Python

Bash

Linux

Terraform

Ansible

Azure

Powershell

Senior and Expert level

Amsterdam

London

21-100 employees

HealthcareB2BArtificial IntelligenceMachine LearningSaaSMedTech

Company mission

To provide AI that empowers healthcare and pharmaceutical professionals to deliver faster, more precise diagnostics and treatments.

Job

Company

Role

Who you are

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?
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
Must be able to lift up to 10 pounds occasionally

What the job involves

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
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

Our take

The medical technology market is expected to continue its growth due to innovative technological developments, the increasing pace of population ageing, chronic diseases, and trust in medical devices. And advancements in AI and robotic solutions, cloud-based software and healthcare apps, are likely to boost industry growth in the future.

Radiologists agree that AI is necessary to compensate for the increase in medical images they need to assess. Without AI, the demand for scans would outgrow the human ability to review them timely and accurately. Aidence provides an AI solution for lung nodule detection and management, which helps improve lung cancer prognosis by detecting, measuring, classifying and tracking the growth of pulmonary nodules on patients' chest CT scans.

Aidence was acquired by US radiology firm RadNet in 2022. Its future goals include expanding its products to detect larger masses on chest CTs and using the data collected from scans to provide further insights into the effectiveness of lung cancer treatments.

Steph

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 3 rounds)

Mar 2020

$2.3m

GRANT

Feb 2019

$11.7m

SERIES A

Total funding: $16.6m

Company HQ

De Weteringschans, Amsterdam, Netherlands

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