Python Engineer (Remote)

July 22

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Huckleberry Labs

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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

Description

• 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

Requirements

• 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.

Benefits

• 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