Senior software engineer - connectivity & data systems

PpAs 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. /p h3Duties and Responsibilities /h3 ul liSpecify, design, and develop applicative software modules in C++/Qt used to service, diagnose, and configure the robotic system. /li liParticipate in full system design, prototyping, and verification activities, bridging the gap between local software and cloud-based data systems. /li liAct as a main contributor to the roadmap for implementing remote monitoring (IoT) and data connectivity for the Dexter system. /li liDesign and maintain scalable data pipelines for ingestion, processing, and visualization to ensure efficient data flow from the robot to the cloud. /li liContribute to the optimization of the DataFactory, ensuring operational reliability and performance within the Azure/Databricks environment. /li liImplement automated validation checks and software test procedures to detect inconsistencies in data pipelines and local applications. /li liGuide the configuration of internal tools to enhance data ingestion efficiency and ensure alignment with governance policies. /li liContribute to cross-functional investigations, including CAPA (Corrective and Preventive Actions) and root cause analyses related to data discrepancies. /li /ul h3Qualifications and Requirements /h3 ul liMaster’s or Bachelor’s degree in Computer Science, Electronics, Electrical Engineering, or a related discipline. /li liSignificant professional experience (typically 10+ years) in software engineering, with at least 2 years focused on data engineering or connectivity solutions. /li liAbility to effectively communicate and collaborate with stakeholders from different functions (e.g., Operations, Finance, Sales, RD). /li liExpert in C++ programming for Windows and high proficiency in the Qt framework. /li liStrong expertise in Databricks, Azure, Terraform, and Azure DevOps. /li liProficiency in Python and SQL for data modeling and pipeline orchestration. /li liExperience with industrial buses (e.g., CAN, EtherCAT) or embedded platforms is a plus. /li liFamiliarity with data governance frameworks and medical device quality management systems. /li liKnowledge of data security principles, including access control, encryption, and anonymization techniques. /li liStrong problem-solving skills, critical thinking, and adaptability in a fast-paced environment. /li liExcellent communication skills, with the ability to present insights to both technical and non-technical stakeholders. /li liAbility to document data governance policies, workflows, and quality standards effectively. /li /ul h3What we offer /h3 ul liA dynamic, innovative environment with cutting-edge medical technology that is shaping the future of robotic surgery. /li liFast-growing Company where innovation meets agility. /li liStructured onboarding program and training, ensuring a confident start. /li liHigh degree of autonomy and flexibility. /li /ul /p #J-18808-Ljbffr