Senior Python Architect & Tech Lead (Remote)

INDI Staffing Services; United States; Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

Flexible work location

Tailored compensation

Generous leave policies

Job summary

INDI Staffing Services is seeking a Senior Python Developer to architect sophisticated solutions for global clients. You will lead technical initiatives, mentor rising talent, and tackle complex challenges using Python in cloud, data processing, and web development.

You will design scalable Python applications, build automation for data infra, and collaborate across teams to turn business needs into technical specs, while upholding best practices and clean code.

Qualifications

• 5+ years hands-on Python and Django development.
• Experience with SQL and NoSQL databases.
• Experience with Microservices and Cloud environments.
• Advanced algorithm knowledge and design pattern familiarity.
• Strong testing, CI/CD, and version-control practices.
• Proficient English communication; flexible/work-from-anywhere mindset.

Responsibilities

• Lead the design and implementation of complex Python applications.
• Create automation tools for data infrastructure and pipelines.
• Develop data integration services to accelerate onboarding.
• Ensure reliability and performance of data infrastructure.
• Mentor junior developers through code reviews and guidance.
• Architect scalable solutions with modern design patterns.
• Collaborate with cross-functional teams to convert requirements into specs.

Skills

Python

Django

SQL

NoSQL

Microservices

Cloud environments

SOLID principles

CLEAN Code

Design patterns

Unit testing

CI/CD

Version control

English proficiency

Tools

Git

CI/CD

Job description

INDI Staffing Services is seeking a Senior Python Developer to architect sophisticated solutions for global clients. You will lead technical initiatives, mentor rising talent, and tackle complex challenges using Python in cloud, data processing, and web development.

You will design scalable Python applications, build automation for data infra, and collaborate across teams to turn business needs into technical specs, while upholding best practices and clean code.