Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients
Job Summary
Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.
In this crucial role, you will build and optimize large scale data infrastructure to drive business decisions and machine learning research.
Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress.
Matching Summary
Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.
Skills & Requirements
Must-have
Scalable data services and pipelines
OLAP databases and ELTs
Data infrastructure optimization
Python, Java, or Scala proficiency
SQL proficiency
Cloud provider experience (GCP, AWS, Azure)
Structured and unstructured data management
Distributed systems and processing frameworks
Terraform and Kubernetes experience
Nice-to-have
Deploying ML models at scale
Building well-modeled data products
Extreme ownership culture
Empathy for clinicians and patients
Key Requirements
5+ years of experience in Data Engineering or Backend Engineering
Proficiency in at least one general purpose programming language
Proficiency in SQL
Proficiency with at least one modern cloud provider
Experience with distributed systems
Experience with Terraform, Kubernetes, and containerization