Senior Software Engineer (Remote)
Austin, Texas, United States; Mountain View, California, United States; Remote, United States
HeartFlow, Inc. is a medical technology company advancing the diagnosis and management of coronary artery disease, the #1 cause of death worldwide, using cutting-edge technology. The flagship productâan AI-driven, non-invasive cardiac test supported by the ACC/AHA Chest Pain Guidelines called the HeartFlow FFRCT Analysisâprovides a color-coded, 3D model of a patientâs coronary arteries indicating the impact blockages have on blood flow to the heart. HeartFlow is the first AI-driven non-invasive integrated heart care solution across the CCTA pathway that helps clinicians identify stenoses in the coronary arteries (RoadMapâ˘Analysis), assess coronary blood flow (FFRCT Analysis), and characterize and quantify coronary atherosclerosis (Plaque Analysis). Our pipeline of products is growing and so is our team; join us in helping to revolutionize precision heartcare.
HeartFlow is a VC-backed, pre-IPO company that has received international recognition for exceptional strides in healthcare innovation, is supported by medical societies around the world, cleared for use in the US, UK, Europe, Japan and Canada, and has been used for more than 250,000 patients worldwide. Â
This position will be key to building and delivering the next generation of a distributed system to efficiently process medical images on the cloud and reliably deliver the results of processing. Design, develop and maintain HeartFlowâs services in the interoperability domain, continuous integration & continuous deployment pipelines and infrastructure. The interoperability services interact with other services in HeartFlowâs cloud environment and also with the hospital systems on premise.Â
Own and drive the development of multiple components within the team according to best practices in software development and the standards and guidance set forth by FDA and other regulated bodies. #LI-Remote; #LI-IB1
You have experience in the following:
- Microservices based architecture
- API design
- Large scale and distributed computing systems
- Web services and RESTful APIsÂ
- Horizontal scalability of services
- Amazon Web Services (AWS), or another cloud provider
- Containerization technologies, such as Docker or equivalent
- RDBMS
- NoSQL or non-relational database like DynamoDB, MongoDB or equivalent
- Python (advanced programming)
- Applying data structures, algorithms, and object-oriented principles to solve challenging problems
- Linux, (advanced systems knowledge)
- Continuous Integration platforms
- Continuous delivery pipelinesÂ
- Debugging distributed cloud servicesÂ
- Software development best practices, and agile methodologies
- Unit, Functional, and Black Box testing of software Applications
- DICOM and/or HL7 standards
- Enterprise Imaging Software development and interoperability concepts
- Software as âŚ
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- Design and develop services
Agile Agile methodologies AI Algorithms Amazon Web Services API design AWS Black box testing Containerization Containerization technologies Continuous delivery Continuous Integration Data Structures Debugging DICOM Distributed Systems Docker DynamoDB Functional Testing Healthcare Healthcare innovation HL7 Interoperability Linux Microservices MongoDB NoSQL Object-oriented Programming Organizational Python RDBMS RESTful API's Software as a medical device Software Development Training Unit Testing Web Services
Experience6 years
EducationBachelor's degree in Computer Science Computer Science Engineering Equivalent experience Science Software Engineering
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9