About the role
Epsilon Health is transforming medical imaging with AI. We are looking for Software Engineers to build and operate core infrastructure including ingestion pipelines, data warehouses, and distributed inference systems. You will work across the backend stack, design services, improve observability, and keep production healthy. You will also work closely with the ML team on ML infrastructure. This role involves reliability, operations, debugging, and capacity planning.
Requirements
6+ years building data infrastructure or distributed systems, 2+ years leading complex projects, proficiency in backend languages (Go, Python, Java), experience with AWS and large-scale distributed systems, strong problem-solving and tradeoff navigation, track record of leading multi-quarter technical initiatives. Preferred: startup experience, frontend skills (TypeScript, React), HIPAA-compliant systems, ETL/data lake, ML infrastructure.
About the company
Epsilon Labs, Inc.
Epsilon Health is a tech-enabled teleradiology practice revolutionizing the healthcare industry. By integrating board-certified radiologists with proprietary technology, they enhance the speed and accuracy of radiology reporting. This innovative approach benefits patients, radiologists, imaging centers, and payers by addressing critical issues like radiologist burnout and delayed results.
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