Find jobs that fit your situation.

Doing meaningful work should come with fair, transparent rewards. The base salary range for this role is €78.187–€130.312. We determine pay within the range using objective factors, like the skills the role requires, your relevant experience and the responsibility you'll have in this role, alongside internal equity and local market considerations. This role is eligible for 3% bonus, with your rewards linked to KPIs/company results. We’ll share the full approach with you during the interview process, so you can make a clear, informed decision.

#ImageGuidedTherapy

As Senior Software Software Architect, you will shape the AI‑driven software architecture for cath lab solutions, defining and evolving the architecture for lab orchestrator and clinical operating functions across cloud, edge, and system integrations. You will ensure the architecture supports low‑latency workflow automation, standards-based interfacing & strong quality, and regulatory compliance in a complex, global R&D environment.

Your role:

• Partner closely with cross‑functional leaders (software, AI/data, systems, cybersecurity, verification, clinical and product) to drive architectural alignment, make trade‑offs explicit, and enable crisp decisions across teams and sites.
• Define and evolve software architecture for the Azurion Eye orchestrator and clinical operating functions, including interface design and integration patterns across cloud, edge, and Azurion ecosystem integrations.
• Translate present and future feature needs plus non‑functional requirements (latency, availability, scalability, security, observability, maintainability) into practical reference architectures and implementation guardrails for teams.
• Evaluate and reduce technical uncertainty by identifying architectural risks early, shaping mitigation strategies, and contributing to risk management activities in a regulated development context.
• Drive architectural discussions and decisions on system boundaries, interface contracts, and integration strategies to achieve robust interoperability and predictable system performance (microservice‑first and REST‑based components).
• Embed engineering excellence into architecture: alignment with CI/CD, automation, operational diagnostics and observability patterns that enable frequent, safe releases.
• Support build‑vs‑buy and partner integration decisions when relevant, ensuring external components accelerate delivery without compromising safety, quality, or long‑term evolvability.
• Mentor and coach engineers through design reviews, architectural decision records, and interface governance—raising the bar for documentation quality, implementation consistency, and sustainable execution.
• Foster a culture of continuous learning and collaborative problem solving that strengthens architecture craftsmanship and accelerates delivery of AI‑enabled innovation.
• Lead by example by hands-on contributing to the software development of the components & driving PoC’s towards technology & design decisions

You're the right fit if:

• A Bachelor’s or Master’s degree in Computer Science, Informatics, Software Engineering, Biomedical Engineering, or a related technical field.
• Strong experience (typically 7+ years) designing and delivering complex software in regulated environments, spanning edge/embedded and cloud services. Experience in delivering software under medical device regulation is strongly preferred.
• Experience in building & designing distributed systems across on‑prem and cloud‑native/edge‑native environments, including containers and Kubernetes, and the ability to translate this into actionable guidance for teams.
• Strong background in distributed systems and event‑driven or integration‑heavy architectures, with the ability to define stable interface contracts that support reliable, low‑latency workflow orchestration.
• Hands‑on familiarity with modern engineering quality practices (automated testing, CI/CD, observability/monitoring, operational readiness, ai assisted development) applied in a regulated medical context.
• Understanding of healthcare interoperability and imaging ecosystem constraints; familiarity with standards such as DICOM & FHIR is especially relevant in the Azurion Eye context.
• Strong collaboration and communication skills—able to negotiate constraints, explain technical considerations, and recommend solutions across cross‑site, cross‑functional teams.
• Practical judgment in balancing feature delivery with technical debt and platform evolution, maintaining existing technology while enabling innovation.
• Comfort operating at the intersection of software, AI/data, and system integration, ensuring architecture supports safety, cybersecurity, verification strategy, and design control expectations.
• Pragmatic approach, combining technical leadership with hands-on guidance for services written in Golang & Python.
• Comfort operating in a dynamic, evolving environment where requirements may not always be fully defined.