Senior Software Engineer - Connectivity & Data Systems
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Senior Software Engineer - Connectivity & Data Systems at Distalmotion SA: Epalinges, Швейцарія; На місці; Повна зайнятість; Старший спеціаліст; IT. This listing is part of JobGrid's Вакансії software engineer з публічних сторінок кар'єри. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: Epalinges, Швейцарія, На місці
- Role classification: IT, Back End інженер, Повна зайнятість, Старший спеціаліст
- Source freshness: checked by JobGrid on 2026-06-10.
- Application path: candidates continue to the employer application page with non-personal referral tags.
As a Senior Software Engineer within the Application and Data team, you will be a main contributor to the technical bridge between the Dexter robotic system and our cloud analytics platform. You will play a key role in designing and maintaining data-driven solutions that ensure robust ingestion, high quality, and compliance with data governance standards across the organization. Your work involves developing the software modules that enable remote monitoring and secure telemetry from the operating room.
Duties and Responsibilities:
- Specify, design, and develop applicative software modules in C++/Qt used to service, diagnose, and configure the robotic system.
- Participate in full system design, prototyping, and verification activities, bridging the gap between local software and cloud-based data systems.
- Act as a main contributor to the roadmap for implementing remote monitoring (IoT) and data connectivity for the Dexter system.
- Design and maintain scalable data pipelines for ingestion, processing, and visualization to ensure efficient data flow from the robot to the cloud.
- Contribute to the optimization of the DataFactory, ensuring operational reliability and performance within the Azure/Databricks environment.
- Implement automated validation checks and software test procedures to detect inconsistencies in data pipelines and local applications.
- Guide the configuration of internal tools to enhance data ingestion efficiency and ensure alignment with governance policies.
- Contribute to cross-functional investigations, including CAPA (Corrective and Preventive Actions) and root cause analyses related to data discrepancies.