About the Role
Were on a mission to completely change the way healthcare works by building the most powerful
Healthcare Intelligence Platform
ever made. Using an AI-first approach
, our goal is to turn complicated health data into real-time insights that help hospitals, clinics, pharmaceutical companies, and researchers make faster, smarter decisions. We're building a
unified platform
from the ground up specifically for healthcare
. This platform will bring together everything from: - Collecting data from different systems (Data Acquisition)
- Combining and cleaning it (Integration, Data Quality)
- Managing patient records and provider info (Master Data Management)
- Tagging and organizing it (Data Classification & Governance)
- Running analytics and building AI models (Analytics, AI Studio)
- Creating custom healthcare apps (App Marketplace)
- Using AI as a built-in assistant (AI as BI + Agent-first approach)
This platform will let healthcare teams build solutions quickly without starting from scratch each time. For example, theyll be able to:
- Track and manage
kidney disease patients
across different hospitals - Speed up
clinical trials
by analyzing real-world patient data - Help
pharmacies manage their stock
better with predictive supply chain tools - Detect early signs of diseases like
diabetes or cancer
with machine learning - Ensure
regulatory compliance
automatically through built-in checks
This is a
huge, complex, and high-impact challenge
, and were looking for a
Software Development Engineer III
to help lead the way.
In this role, youll:
- Design and build scalable, secure, and reliable systems
- Create core features like
data quality checks
, metadata management
, data lineage tracking
, and privacy/compliance layers
- Work closely with other engineers, product managers, and healthcare experts to bring the platform to life
If you're passionate about using technology to make a real difference in the world and enjoy solving big engineering problems we'd love to connect.
A Day in the Life
- Architect, design, and build scalable data tools and frameworks.
- Collaborate with cross-functional teams to ensure data compliance, security, and usability.
- Lead initiatives around metadata management, data lineage, and data cataloging.
- Define and evangelize standards and best practices across data engineering teams.
- Own the end-to-end lifecycle of tooling from prototyping to production deployment.
- Mentor and guide junior engineers and contribute to technical leadership across the organization.
- Drive innovation in privacy-by-design, regulatory compliance (e.g., HIPAA), and data observability solutions.
What You Need
- 6+ years of experience in software engineering with strong experience building distributed systems.
- Proficient in backend development (Python, Java, or Scala or Go) and familiar with RESTful API design.
- Expertise in modern data stacks: Kafka, Spark, Airflow, Snowflake etc.
- Experience with open-source data governance frameworks like Apache Atlas, Amundsen, or DataHub
is a big plus.
- Familiarity with cloud platforms (AWS, Azure, GCP) and their native data governance offerings.
- Bachelor's or Masters degree in Computer Science, Engineering, or a related field.