Python/Django Software Engineer (part-time, remote, with flexible schedule)
As a Python/Django Software Engineer, you will develop complex services to enhance healthcare solutions for patients and clinicians, collaborating with product teams.
Python Developer β APIs & Integrations
Location: South America
Schedule: 14 hours/week, aligned with US Central Time
Type: Part-time, long-term
Start: ASAP
About the Role
We are looking for a Python Developer to join a long-term project with a US-based client.
Youβll work on a variety of development, API integration, automation, and cloud-related tasks. The ideal candidate is hands-on, resourceful, and comfortable figuring things out independently rather than waiting for detailed instructions.
Fluent English is required, as you will communicate directly with a US-based client.
What You'll Do
What We're Looking For
What We're Looking For in This Person
Weβre looking for someone who is curious, proactive, and a strong problem solver.
You should be comfortable receiving a goal or a problem and figuring out the best way to solve it. This role is a good fit for someone who enjoys working across different technologies and integrations rather than focusing on only one type of development task.
If you enjoy learning, troubleshooting, building practical solutions, and working directly with clients, weβd love to hear from you.
As a Python/Django Software Engineer, you will develop complex services to enhance healthcare solutions for patients and clinicians, collaborating with product teams.
Build and scale integrations that move customer data reliably and securely across HRIS, ATS, payroll, and other systems, improving ingestion workflows, performance, and customer-facing error resolution.
Build and operate backend services, APIs, and data pipelines for insurance coverage and enrollment, scaling configurable regional rules while enabling experimentation and improving reliability across markets.
Design and launch backend features for an underwriting platform, collaborating across product, design, analytics, and credit risk while supporting system reliability and responsible growth.
Develop Python backend services and analytics tools, integrate LLMs and AI agents into products, and contribute to React features, API design, architecture decisions, testing, and code reviews.