About the job
Who We Are
A startup in the field of minimally invasive endovascular decision support, is seeking an experienced Engineering Manager to establish and lead a high-performing software and algorithm team. This role involves nurturing & building a multi-disciplinary team, managing external subcontractors, and driving the development of scalable, high-performance AI-powered solutions for medical technologies.
What Youʼll Do
- Design and implement user-friendly, responsive, and scalable Real-Time front-end applications that integrate seamlessly with Python-based AI models and network services.
- Collaborate with product managers, designers, and back-end engineers to translate requirements into elegant, efficient, and maintainable code, according to best practices of software engineering.
- Writing technical documentation.
- Drive technical decisions on application architecture, frameworks, and tooling for front-end development within a C# and Python environment.
- Optimize application performance, accessibility, and cross-browser compatibility to ensure a best-in-class user experience.
- Contribute to continuous improvement in development processes, including CI/CD, unit testing, production deployment and automation.
- Stay current with emerging front-end technologies and frameworks, and evaluate their potential adoption within the team.
Minimal Requirements
- 5+ years of front-end C# development — must.
- Extensive knowledge of building GUI with WinForms — must.
- Experience with Building Windows Services — must.
- Extensive knowledge of Multi-threading / Multi-Processing / Interprocess Communication — must.
- Extensive knowledge with Message Brokers like RabbitMQ — must.
- Excellent knowledge of software design patterns — must.
- Experience with unit testing — must.
- Experience with maintenance and deployment in C# and Python environments, working with artifactory like Nexus / nuget — must.
- Experience of building windows installers like MSI — must.
- High level of English — verbal & written — must.
Additional (Advantage) Requirements
- Experience with REST — advantage.
- Experience with PyTorch / TensorFlow / scikit-image / matplotlib — big advantage.
- Experience with Python — advantage.
- Experience with cross-platforms application — advantage.
- Experience with Deployment, including CI/CD — advantage.
- Software Engineering / Computer Science Bachelor Degree — advantage.
- Experience with Kiosk mode applications — advantage.
- Medical / healthcare companies experience — advantage.
- Knowledge of security best practices — advantage.
Personal
- Fire-and-Forget attitude.
- Strong sense of ownership and responsibility for both production environments and company IT.
- Detail-oriented mindset with a focus on security, compliance, and reliability.
- Problem-solver able to troubleshoot across DevOps, infrastructure, and IT domains.
- Comfortable working in a startup environment: flexible, hands-on, and willing to switch contexts between R&D support and internal IT.
- Excellent collaboration and communication skills, working closely with engineers, data scientists, clinicians, and non-technical staff.
- Ability to document and enforce policies in a way that balances compliance with usability.
- Proactive learner, always looking to adopt best practices and introduce improvements in DevOps and IT.
- Quick-learner, team player.