Staff Backend Software Engineer US Remote

+3
+9
United States

+3
+9
United States

About

At Sirona Medical we’re building tools for physicians to work as fast as they can think.Many billions of patient images are acquired each year in the U.S., and nearly all of them are reviewed and diagnosed by a radiologist. In fact, 80% of healthcare data flows through radiology IT systems, and radiologists are among healthcare’s most tech-savvy and influential physicians. But they desperately need better, user-friendly software that cuts clicks and optimizes diagnostic time. Sirona is building a modern cloud-native and AI-powered operating system (“RadOS”) that unifies radiology IT onto a single, streamlined workspace. We’re a San Francisco, CA-based software company (with employees working from all over the world) founded on a deep understanding of both the practice and business of radiology. 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. Key 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. Key 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. 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. Good To Have: 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. Stock Options Unlimited PTO Life insurance Maternity and Paternity Leave 401K matching 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 Do something morally benevolent! The annual US base salary range for this full-time position is $180,000 - $205,000 + equity + benefits. Pay scale is flexible depending on experience. Within the range, individual pay is determined by work location and additional factors, including job-related skills, competencies, experience, relevant education and training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Apply for this job
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Nice-to-have skills

API Design
Cloud Architecture
Distributed Systems
Django
Docker
Kubernetes
NoSQL
Python
SQL

United States

Work experience

Backend
Computer Vision
Cyber Security Specialist

Languages

English

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