Senior Software Engineer – Team Lead (Wädenswil, hybrid home/office)
Creoptix AG, a brand of Malvern Panalytical, provides next‑generation bioanalytical instruments based on proprietary Grating‑Coupled‑Interferometry (GCI) technology. Our instruments support drug discovery and life science research across industry and academia.
In this hybrid role, you will lead a small core team of experienced software and data science professionals while contributing directly as a hands‑on developer (approximately 60–80% development, 20–40% leadership). You will report to the R&D Manager.
Responsibilities Collaborate with hardware/software engineers and application scientists to translate domain‑specific requirements and use cases into robust technical designs.
Drive architectural improvements to ensure scalability, maintainability, and future readiness.
Develop new features while ensuring backward compatibility and a consistent user experience.
Maintain and refactor existing codebases with a strong focus on performance, reliability, and clean coding practices.
Work closely with the product manager, other team members, and broader stakeholders to define and prioritize product features.
Liaise with external project partners to define and coordinate their contributions.
Organize and contribute to DevOps processes including feature and milestone planning, user‑stories, code reviews, testing, retrospectives and documentation.
Facilitate alignment between software development and hardware/applications development workstreams.
Qualifications Strong interpersonal skills and excellent communication ability in English.
Proven experience in object‑oriented design and clean coding practices.
Experience in DevOps processes and tools, ideally within Azure.
Proficiency in C# and modern .NET frameworks (WPF preferred).
Strong sense of ownership and attention to code quality.
Eligibility to work in Switzerland.
Preferred: prior experience as software development lead or software product owner.
Preferred: experience with asynchronous programming and memory management.
Preferred: knowledge of API design, performance tuning, and embedded systems.
Preferred: multi‑language development experience (e.g., Rust, Julia, Python, C++).
Preferred: experience with scientific instrumentation, real‑time data processing.
Preferred: experience with other biomolecular interaction analysis techniques (e.g., SPR, BLI).
Preferred: experience with deploying data science or ML models in production.
What we offer A collaborative, interdisciplinary team of experts in engineering, physics, data science, and biochemistry.
Opportunities to work on cutting‑edge technology with real‑world impact.
A culture of innovation, ownership, professionalism, and continuous learning.
We encourage applications from underrepresented individuals and people with diverse backgrounds. Our organization is an inclusive, equal‑opportunity employer that prizes diversity.
#J-18808-Ljbffr