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EPAM Systems, Inc. —Zürich, ZH
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Senior Software Engineer - Connectivity & Data Systems

Distalmotion SA
Epalinges, VD

Postuler rapidement

Détails de l'emploi

100% | Temps de travail : 90-100%

Qualifications

Niveau Master
Maturité
SQL
C++
Niveau Licence
Terraform
Compétences en communication
Python

Description complète du poste

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.

Requirements

Master’s or Bachelor’s degree in Computer Science, Electronics, Electrical Engineering, or a related discipline.
Significant professional experience (typically 10+ years) in software engineering, with at least 2 years focused on data engineering or connectivity solutions.
Ability to effectively communicate and collaborate with stakeholders from different functions (e.g., Operations, Finance, Sales, R&D).
Expert in C++ programming for Windows and high proficiency in the Qt framework.
Strong expertise in Databricks, Azure, Terraform, and Azure DevOps.
Proficiency in Python and SQL for data modeling and pipeline orchestration.
Experience with industrial buses (e.g., CAN, EtherCAT) or embedded platforms is a plus.
Familiarity with data governance frameworks and medical device quality management systems.
Knowledge of data security principles, including access control, encryption, and anonymization techniques.
Strong problem-solving skills, critical thinking, and adaptability in a fast-paced environment.
Excellent communication skills, with the ability to present insights to both technical and non-technical stakeholders.
Ability to document data governance policies, workflows, and quality standards effectively.

Benefits

What we offer:

A dynamic, innovative environment with cutting-edge medical technology that is shaping the future of robotic surgery.
Fast-growing Company where innovation meets agility.
Structured onboarding program and training, ensuring a confident start.
High degree of autonomy and flexibility.

Postuler rapidement

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