Python Developer

Bright Sol
Phoenix, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
$ 125K

Job location

Phoenix, United States of America

Tech stack

HTML
Java
JavaScript
API
Amazon Web Services (AWS)
User Authentication
Azure
CSS
Cloud Computing
Web Development
Django
Identity and Access Management
Python
PostgreSQL
MongoDB
MySQL
NoSQL
NumPy
OAuth
Role-Based Access Control
Azure
Responsive Web Design
Single Sign-On
Systems Integration
TypeScript
Web Application Frameworks
Workflow Management Systems
Google Cloud Platform
Okta
React
Flask
Delivery Pipeline
Backend
GIT
FastAPI
Vue.js
Pandas
Containerization
Angular
Scikit Learn
Kubernetes
Front End Software Development
REST
Software Version Control
Docker
Go
Programming Languages

Requirements

Proficiency in Python, with demonstrated experience building and maintaining backend services or APIs Working knowledge of at least one additional programming language (e.g., JavaScript/TypeScript, Java, Go) Experience with modern web frameworks (e.g., Django, Flask, FastAPI, React, Angular, or Vue) Familiarity with RESTful API design, development, and integration Understanding of front-end fundamentals (HTML, CSS, JavaScript) and responsive design principles Experience working with relational and/or NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB) Basic understanding of cloud platforms (e.g., AWS, Azure, or Google Cloud Platform) and deployment workflows Exposure to version control systems, particularly Git, including branching and pull request workflows Familiarity with Identity and Access Management (IAM) concepts (e.g., authentication, authorization, RBAC, OAuth, SSO) Experience integrating or working with IAM tools or providers (e.g., Okta, Auth0, Azure AD) is preferred Understanding of security best practices in web application development Experience with containerization and/or orchestration tools (e.g., Docker, Kubernetes) is a plus Exposure to Python ML libraries (e.g., scikit-learn, pandas, NumPy)

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