The company is focused on making healthcare reimbursement transparent and fair, allowing providers to prioritize patient care over cost negotiations.
This role is for a senior Software Engineer within a mission-driven team responsible for the data pipelines and AI engine of the product.
Responsibilities include streaming hospital data at scale by building and running pipelines that pull EHR and claims data (FHIR/HL7) into the platform in real time.
The engineer will strengthen the machine learning stack by owning feature stores, model serving, and monitoring to ensure clinicians receive fast and trustworthy results.
The role involves shaping the cloud environment by designing and operating the AWS environment, utilizing infrastructure as code, serverless, and data storage solutions.
The engineer will automate for reliability by ensuring deployments are repeatable and secure, with clear metrics, sensible alerts, and HIPAA-grade safeguards.
There is an opportunity to grow within the company by mentoring peers and influencing architecture, with a clear path to steering broader engineering strategy as the company scales.
Requirements:
Candidates must have 4+ years of experience designing and shipping production systems in Python, Go, or similar languages.
A deep experience with high-throughput ETL and schema design is required.
Mastery of AWS/GCP, Kubernetes/ECS, Terraform (or similar technologies), and CI/CD is essential.
A proven security mindset, with knowledge of HIPAA, SOC2, or equivalent standards, is necessary.
A track record of leading architecture and mentoring engineers is expected.
Benefits:
The position offers competitive compensation, including a top-of-market salary and equity.
There is a flexible PTO policy, providing a generous vacation allowance and a remote-friendly culture.
The company promotes a strong team culture with regular team-building events, a collaborative atmosphere, and mission-driven work.