Senior Software Engineer

Work Flexibility: Hybrid What you will do: Design, develop, and maintain complex C++/Python applications for Linux and Windows systems in a regulated medical device environment. Define robust software architecture and system design (including UML-based modeling) and provide well-founded development effort estimations.

Implement, extend, and integrate software modules and system interfaces , ensuring scalable and high-quality solutions. Document development work in accordance with software engineering best practices , ensuring traceability and compliance readiness.

Plan, execute, and document verification and validation (V&V) activities with a strong focus on quality assurance. Collaborate cross-functionally and coordinate work packages to ensure smooth execution across teams and stakeholders. Lead, mentor, and support team members, contributing to continuous improvement of development processes .

Contribute to software infrastructure and DevOps initiatives , including defining scalable Git repository structures and coordinating code migration. Drive build system modernization , including migration from QBS to CMake-based environments.

Design and implement Docker-based development and build environments . Set up, run, and optimize CI/CD pipelines using Jenkins and GitLab, including supporting migration to GitLab pipelines. Required Qualifications: Bachelor’s degree in Computer Science, Software Engineering, Technical Informatics, or a related field.

Minimum 5+ years of hands-on experience in software development. Strong programming expertise in C++ and Python , with experience building applications for Linux and Windows environments . Strong proficiency in object-oriented design, software architecture, and system design .

Proven ability to understand business/technical requirements and translate them into structured deliverables and implementation plans . Experience designing, documenting, and implementing scalable software systems. Hands-on experience with build systems (CMake) and migration from legacy environments such as QBS .

Working knowledge of C# and multi-language development environments. Familiarity with DevOps practices including CI/CD pipelines, Docker, and version control systems (Git). Experience working in an Agile development environment with sprint-based delivery models.

Strong communication skills with the ability to collaborate effectively across cross-functional teams. Understanding of AI tools and modern development productivity tools (e.g., AI-assisted coding, testing, debugging)