AtSirona Medical, we're building software that enables physicians to work as fast as they can think.
Each year in the U.S.,billions of patient imagesare captured—and nearly all of them are reviewed and diagnosed by radiologists. These specialists are the central hub of diagnostic medicine:over 80% of all healthcare data flows through radiology IT systems. Yet despite their pivotal role, radiologists are overburdened by outdated, fragmented software which limits their efficiency and ultimately the quality and efficiency of care that health systems can provide patients. That's where Sirona comes in.
We're aSan Francisco-based, cloud-native software companywith employees around the world. Our deep understanding of both thepractice and business of radiologyhas allowed us to buildRadOS—a unified, AI-powered operating system powering the entire radiology workflows.
Sirona isuniquely positioned to transform the way radiology is practiced. We're delivering the organizational shift that both individual radiologists and entire practices urgently need:
Aunified, intuitive, andplatform-agnosticsolution
A streamlined workspace that makesevery part of the radiologist's workflow faster and easier
The freedom toread from anywhere, for anyone
By cutting clicks, optimizing diagnostic time, and unlocking efficiencies that extendfar beyond the reading room into all care settings, Sirona empowers radiologists—and in doing so, we help the entire healthcare system move faster, smarter, and with greater impact on patient outcomes.
We're looking for a Full Stack Software Engineer focused on Test Automation to drive quality across our platform. You'll play a critical role in improving test coverage, preventing regressions, and increasing release confidence—helping ensure we deliver a reliable experience to every doctor, every time.
Key Responsibilities:
Benefits:
The annual US base salary range for this full-time position is $120,000 - $140,000 + 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.
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