Cloud & Data Engineer

ph3OUR MISSION
- Connect the power of molecular imaging to the point of surgery /h3 pAt XEOS, we are transforming surgical oncology through innovative intraoperative imaging solutions. Founded in Belgium in 2019, we developed the world’s first specimen PET-CT scanner, the AURA 10 PET-CT, empowering surgeons to make more informed decisions during surgery, ultimately improving patient outcomes. Today, our AURA 10 is already used in leading hospitals, and we're now entering an exciting new phase of growth with the development of our next-generation platform. We're a medtech company driven by Transparency, Dedication, Agility and Excellence. Values that shape our dynamic and collaborative culture. We believe great people thrive when they're given trust, responsibility and the freedom to build. It's an opportunity to strengthen our hardware capabilities and help shape the future of XEOS. /p pWant to learn more? Visit /p h3YOUR MISSION
- What you’ll achieve /h3 pYou'll become the go-to colleague for cloud and data engineering at XEOS. You'll own and evolve the AWS platform that processes the clinical imaging and quality‑control data from our AURA scanners, design the data pipelines that turn that data into usable insight, and bring your Linux, cloud and data expertise into the RD software team as a shared technical resource. You'll also help keep our core infrastructure (VPN, on‑prem servers) stable and secure. By joining our team, you help XEOS bring peace of mind to patients by pushing the limits of imaging precisely where it matters. /p h3YOUR Responsibilities
- What you’ll do /h3 ul liOwn our AWS infrastructure (EC2, S3, IAM, Lambda, DynamoDB, VPC, billing) for the platform handling of clinical imaging and quality‑control data /li liDesign and maintain the data pipelines and architecture behind our imaging, quality‑control and dashboard data /li liContribute to Python and backend development of the platform, together with the RD software team /li liSupport Docker container and CI/CD pipeline maintenance /li liKeep core infrastructure (VPN, on‑prem servers) stable and secure, documenting as you go to ensure long-term maintainability /li liDocument architecture, decisions and processes—knowledge sharing is part of the engineering work, not an afterthought /li liHandle healthcare‑grade data with care, respecting GDPR and HIPAA requirements /li /ul h3In reality – What your week could look like /h3 pOn Monday, you start with a quick check of AWS billing, alerts and infrastructure health before diving into a new data pipeline feature. On Tuesday, you're pairing with our software engineers on a backend feature and aligning with the CTO on how the platform architecture should evolve. Later, on Wednesday, you're improving a quality‑control dashboard data flow, updating your architecture documentation, or fixing the occasional VPN certificate or server disk‑space issue before moving on to the next cloud or data engineering challenge. On Thursday, you have an interesting training planned and on Friday, we wrap up the week together during our Weekly Dose, where we celebrate wins, share company updates and end the week as one team. /p h3YOUR Personality mindset – Who you are /h3 pYou're a cloud data engineer at heart, with strong Linux fundamentals comfortable at the shell and OS level, not just behind managed‑service abstractions. You naturally ask “How can we build this better?” and enjoy taking initiative, while staying pragmatic when things are ambiguous. You're technically confident but intellectually humble, and happy to learn on the job. /p pYou also bring: /p ul liAn ownership mindset
- you're comfortable taking responsibility for systems end-to-end, in a small team where you often operate independently /li liStrong communication and documentation habits
- you share what you know, so the whole team gets stronger /li liCuriosity
- you don't mind occasionally dipping into infrastructure or security work, without needing it to define your role forever /li liA collaborative attitude
- you enjoy building together and flag issues early /li liCare and precision when working with sensitive healthcare data /li /ul h3YOUR QUALIFICATIONS Experience – What we’re looking for /h3 h3Must-have /h3 ul liMaster’s degree in engineering or computer science, or equivalent through experience /li li5+ years of experience, preferably in high-reliability or high‑precision environments /li liHands‑on AWS experience (EC2, S3, IAM, Lambda, DynamoDB, VPC, billing) /li liStrong Linux

skills:
command line, system administration, networking and troubleshooting /li liA solid grasp of networking fundamentals (TCP/IP, DNS, VPNs, load balancing) /li liExcellent communication skills in Dutch and English (written and spoken) /li liHigh willingness to adopt AI‑powered tools and optimizations in daily engineering work. We are an AI‑forward organization and we'll help you get up to speed to leverage AI to work smarter /li liBased in Belgium and wil