Staff Backend Software Engineer

Summary

Join Sirona Medical, a San Francisco-based software company, as a Staff Backend Software Engineer. You will play a crucial role in developing data-intensive applications and services that revolutionize how doctors interact with medical images. This involves building real-time data streaming capabilities, developing new data models for DICOM SOP classes, and optimizing data workflows. Collaboration with various teams is essential. The ideal candidate possesses extensive experience in Python, API design, database management, and cloud technologies. Sirona offers a competitive salary, stock options, unlimited PTO, comprehensive health insurance, and various other benefits.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• Amazon AWS
• Django
• Docker
• Kubernetes
• Experience with full-stack development and technologies relevant to real-time streaming, data modeling, and workflow optimization
• JavaScript / Java / C# / C++ / Rust / GoLang
• Image management/compression (JPEG/MPEG family, bonus for HTJ2K), particularly in the context of real-time streaming and efficient data storage
• Understanding of Medical Imaging and familiarity with the DICOM file format, especially for efficient transmission, data modeling, and workflow optimization
• Cloud Architecture, with a focus on designing scalable and reliable cloud-based streaming, data modeling, and workflow solutions

Benefits

• Stock Options
• Unlimited PTO
• Medical, dental, vision insurance
• Life insurance
• Maternity and Paternity Leave
• 401K matching
• Apple equipment
• Sponsorship for conferences, continuing education, etc
• Dynamic engineering role–technological innovation is at the core of our business
• Growth and learning opportunities from a startup environment include working closely with an international team of scientists, engineers, platform architects, programmers and professionals