Full-stack Python Developer
at
Scalable Path
[Closed]
(2 months, 2 weeks ago)
Job Description
The responsibilities of the role are mostly back-end (Python/Django/Celery/Postgres/AWS) with minimal front-end (HTMX, Alpine.js, Tailwind CSS).
The client would prefer someone who has experience working with generative AI provider APIs (GPT4o, Sonnet 3.5, Llama 3.1 405b, etc). There is an element of web scraping, though they're very open to using a third party API for the actual scraping so this is not a requirement. There are both elements of serverless and server-based workloads for this project.
They are looking for a developer who can take ownership of tasks and operate autonomously without needing a lot of management. This means being able to deliver quality work and not need too much direction, management or external QA.
They use Asana for task management and MS Teams for communication.
Restrictions
- Telecommuting is OK
- No Agencies Please
Requirements
- English - Must have
- Python - Must have
- Django - Must have
- PostgreSQL - Must have
- AWS - Must have
- JavaScript - Must have
- Generative AI APIs - Nice to have
- HTMX - Nice to have
- Tailwind CSS - Nice to have
- Alpine.js - Nice to have
- Celery - Nice to have
About the Company
Client company description
The client is a leading US lighting and electrical supply e-commerce company with cutting edge, innovative products. They are stable and have been profitable for 10 years, investing heavily in growth and expansion.
Expected contract duration: 6-12 months
The project is expected to last about 6 months, but could go on longer than that.
Overview
The client is a tech-enabled e-commerce company building out their internal web application with proprietary tooling and a broad range of features for our employees and partners. The are operating at a large scale and have outgrown the existing e-commerce tools in the market and so they are building their own so that they can operate at top efficiency.
Contact Info
Desired skills:
Back end, Front end, Web
Location:
Latin America (Remote OK)