With a strong emphasis on automation, data engineering, and distributed systems, the ideal candidate will play a key role in building and scaling cutting-edge products. Proficiency in technologies such as Python, Elixir, Azure, and Kubernetes, alongside experience in machine learning and AI frameworks, is essential.
responsibilities :
The task involves extending the API to perform Pre-Auth checks by analyzing policies and data from the top five US healthcare payers and enabling the API to process and post authorization requests directly to the portals of these payers.
requirements-expected :
Architecture - Big Data and distributed systems
Complex client onboarding and multi-tenancy
Devops
Machine Learning / Data Engineering / AI
Python & Elixir
Azure and K8s
Relational DBs, message queues, event streams, caching layers, data warehouses
Test coverage is imperative.
Maximal automation is imperative.
Deep generalists. People who can be told: “See that mountain? Go get it” and they can break the problem down into manageable pieces and solve it, regardless of what the problem domain is. Learn fast, execute iteratively.
Craftsmen mentality (Measure twice, cut once)
Quality code (SOLID for OOP, though a functional mindset preferred) permits long term maximal velocity as the project grows. If this is how you think, apply. If not, please do not.
Ability to work on EST (New York) time zone for bulk of hours.
