Staff Backend Software Engineer, Sirona Medical

• 10+ years of professional experience with Python or a similar object-oriented language (Python 3 preferred)
• 10+ years of API design/development experience, with a focus on real-time data delivery and efficient data management
• 10+ years of Database experience (SQL or NoSQL), with experience in handling large volumes of data, designing complex data models, and optimizing data storage/retrieval
• Cloud experience, especially with cloud-based streaming solutions, data storage, serverless, and elastic scalability
• Experience with performance and optimization challenges in distributed, large-scale systems, particularly for real-time data streaming, data modeling, and workflow optimization
• Strong written and verbal communication skills, including documenting requirements and technical specifications for streaming systems, data models, and workflows
• Ability to evaluate trade-offs between different solutions and choose the most suitable one for real-time data delivery, data modeling, and workflow optimization based on business needs
• Bonus points: Amazon AWS, Django, Docker, Kubernetes, and experience with full-stack development and technologies relevant to real-time streaming, data modeling, and workflow optimization

Desirable

• Staff Backend Software Engineers at Sirona are crucial in developing data-intensive applications and services that revolutionize how doctors interact with medical images using Computer Vision, NLP, and Machine Learning
• We are seeking engineers to focus on building real-time data streaming capabilities, developing new data models to support additional DICOM SOP classes, and optimizing data workflows to enhance the medical image viewing experience
• Collaboration with product designers, product managers, and researchers/scientists is essential to solving complex problems and advancing technology in radiology, ultimately helping doctors deliver the highest quality of care
• Develop high-performance, reliable services and solutions for real-time streaming of large volumes of medical image data to clients
• Create API solutions for internal and external web services, enabling seamless data streaming and interaction for viewers, as well as efficient data storage and retrieval for various DICOM modalities (X-Rays, Ultrasounds, 2D/3D imaging, audio, …). Use test-driven development to ensure robust and well-tested code
• Collaborate closely with frontend and quality engineers to design, develop, test, and deploy efficient streaming solutions, optimized data models, and improved data workflows
• Design and implement new data models to support and enhance additional DICOM modalities, ensuring compatibility and efficient handling of diverse medical image data
• Optimize existing data workflows to improve efficiency and better support the needs of radiologists, focusing on speed, accuracy, and usability
• Brainstorm and contribute to the development of innovative features that enhance the real-time viewing experience and improve data processing for medical professionals
• Contribute to the quarterly roadmap by collaborating with engineers, product managers, and senior leadership to translate the vision into actionable plans for streaming, data modeling, and workflow optimization
• Mentor and train team members on design techniques and coding standards related to real-time streaming, data modeling, and workflow optimization, raising the team's overall expertise
• Gather requirements from Product and provide feedback to create tailored solutions for real-time data delivery, data modeling, and workflow improvements
• Architect and plan end-to-end solutions for efficient and reliable data streaming, robust data models, and optimized data workflows
• Consider company goals and make informed decisions about solutions based on cost and value, especially for real-time systems, data storage, and processing
• Conduct code reviews and pair programming to ensure high-quality code and best practices for real-time applications, data models, and workflows
• Contribute to strong testing practices to prevent regressions in real-time streaming solutions, data models, and data workflows