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Hyperfine is seeking a Senior Software Engineer, Cloud, to develop software systems for managing cloud connectivity of medical devices. This role requires extensive experience in cloud services on AWS, GCP, or Azure, and involves collaboration with cross-functional teams to deliver robust applications.
The ideal candidate will have a strong background in backend development using Python, and knowledge of APIs. The position offers an annual salary between $143,500 - $165,000, along with eligibility for bonus and equity plans.
Hyperfine, Inc. (Nasdaq: HYPR) is the groundbreaking health technology company that has redefined brain imaging with the Swoop® system—the first FDA-cleared, portable, ultra-low-field, magnetic resonance brain imaging system capable of providing imaging at multiple points of care in a healthcare facility. Our mission is to revolutionize patient care globally through transformational, accessible, clinically relevant diagnostic imaging.
Job Title: Senior Software Engineer, Cloud
Location: Guilford, Connecticut
This role is for talented Software Engineers with applied experience in building modern cloud services and web applications. The goal of this role is to design and develop key software systems for remote setup, management, and monitoring of our fleet of devices and ingestion, storage, visualization, and retrieval of data at a large scale. This engineer will work closely with other software engineers, product managers, UI/UX designers, and subject matter experts across the organization to implement solutions for a wide range of challenging clinical problems in MRI aimed at improving patient outcomes. Across the organization they will make a significant contribution to the company’s overall vision of developing cloud services with a delightful look and feel.
The annual base salary for this position is between $143,500 - $165,000. This position is also eligible for to participate in Hyperfine's corporate bonus and equity plans. Individual compensation packages are based on various factors unique to each candidate including skill set, relevant experience, qualifications, location, position level, and other job-related reasons.