Middle/Senior Python Engineer in AgileEngine

What is required?
3+ years of a web development experience
Working experience with Python and familiarity with application server frameworks like Django
Experience building production-hardened web services, with consideration for security, performance, scalability, reliability, and repeatability
Solid knowledge of API design and service-oriented system architecture
Good experience rapidly prototyping new product concepts, especially for enterprise clients
Understanding of automated testing concepts in web apps and the ability to consistently apply them
Knowledge of database fundamentals like indexing, SQL queries, schema migrations, and managing backups
Strong intermediate or above spoken English
What will be a plus?
Experience sustainably engineering Javascript applications, ideally with React and Typescript
Experience with GraphQ

What will you do?
Build products that change the dynamics and incentives of the healthcare industry, changing a zero-sum game of competition between payers and providers into patient-centered collaboration
Put data science magic (like predictive analytics and dynamic modeling) into our users’ hands through interactive features in collaboration with the Data Engineering & Data Science teams
Build innovative and beautiful data visualizations that illuminate the path towards higher quality care at a lower cost
Manage our high stakes production environment, ensuring high availability/low latency and protecting our sensitive data with rigorous security
Identify big opportunities to improve our technology and our products, blazing trails through ambiguity

Technologies used on the Project
Python, Django, SQL, testing tools (e.g. pytest), GraphQL
JavaScript, TypeScript, React, module bundlers (e.g. Webpack), testing tools (e.g. Cypress, Jest), CSS, HTML
Linux, OS X

What about project
Project’s mission is to make high-quality healthcare affordable for everyone. We are dedicated to tackling one of our nation’s biggest problems with ingenuity, creativity, and a keen moral compass. Project is committed to simple principles: a rigorous understanding of data, modern technology, and most importantly, compassion and care for our fellow human. We want to know what really works, what doesn’t, and why.