Pediatric expertise made accessible and affordable to all families, by combining AI with human experts.
sleep • children • parents • family • behavioral medicine
11 - 50
💰 $12.5M Series A on 2021-11
July 22
AWS
Azure
Cassandra
Cloud
Django
Docker
Flask
Google Cloud Platform
MongoDB
MySQL
NoSQL
Numpy
Pandas
Postgres
Python
SQL
Go
Pediatric expertise made accessible and affordable to all families, by combining AI with human experts.
sleep • children • parents • family • behavioral medicine
11 - 50
💰 $12.5M Series A on 2021-11
• Design, develop, and maintain scalable back-end code using Python for new and existing products • Deploy algorithms from our AI/ML team into production in a cloud environment • Ensure our cloud infrastructure is meeting performance requirements. E.G. uptime, scalability • Design and develop RESTful APIs • Build, deploy, and maintain Continuous Integration/Continuous Deployment (CI/CD) pipelines • Situationally troubleshoot production issues • Collaborate with cross-functional teams, including product managers, designers, and other engineers, to identify requirements and deliver high-quality solutions
• 4+ years of backend Python engineering experience • Bachelor's degree (or higher) in Computer Science or a related area • Experience with Python frameworks such as Django, Flask, or FastAPI • A proven ability to effectively use data structures like lists, tuples, sets, dictionaries, and an understanding of algorithms for sorting, searching, etc. • Strong database skills and knowledge including relational databases (like PostgreSQL, MySQL) and/or NoSQL databases (like MongoDB, Firestore, Cassandra) • Strong ability to design data schemas and efficiently interact with databases through an ORM or SQL • Experience with Python data manipulation libraries such as Pandas and Numpy • Strong debugging and testing skills with an ability to write clean, manageable code and debug and test Python applications using tools like PyTest, unittest etc. • Experience in developing RESTful services and understanding of web request/response protocols • Experience with cloud platforms like Google Cloud Platform, AWS, or Azure for deploying applications and managing cloud resources • Basic DevOps & Deployment experience including familiarity with containerization tools like Docker and continuous integration/continuous deployment (CI/CD) pipelines • Strong analytical and problem-solving skills, capable of troubleshooting and optimizing code • Strong collaboration and communication skills with a proven track record of working with Product Management, Engineering, Data Science, and non-technical teams to deliver products and services.
• Salary range $120,000 - $150,000 dependent on experience • Equity • Unlimited PTO • Health • Vision • Dental • Paid parental leave for primary and secondary caregiver • 401k match
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