Remote Lead Python Engineer – Cloud & AI Solutions

Bright Vision Technologies; Cerritos (CA); Remote; USD 90,000 - 120,000; Full time

Job summary

Bright Vision Technologies in the United States is seeking an experienced Lead Python Engineer for a 100% remote role. You will design, build, and optimize high‑scale Python systems across distributed production environments, partnering with product, data, and infrastructure teams to deliver robust solutions.

This hands‑on leadership position requires deep Python expertise, strong architectural fundamentals, and experience driving SDLC best practices, automated testing, and operational support.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related technical discipline.
• Five or more years of applied Python development in enterprise environments.
• Experience building large-scale production apps with uptime requirements.
• Hands-on DB experience (Oracle, MS SQL Server, PostgreSQL, or Sybase) and SQL tuning.
• Solid SDLC knowledge and experience in design, build, test, release, and support.

Responsibilities

• Design and build complex enterprise-grade Python applications and data-intensive services.
• Collaborate with product, data, and infrastructure teams to translate problems into robust solutions.
• Lead with best practices in testing, deployment, and operations; mentor junior engineers.

Skills

Python

Enterprise-scale systems

CI/CD

Agile methods

Communication

Education

Bachelor's degree in Computer Science or related field

Tools

Oracle

MS SQL Server

PostgreSQL

Sybase

Job description

Bright Vision Technologies in the United States is seeking an experienced Lead Python Engineer for a 100% remote role. You will design, build, and optimize high‑scale Python systems across distributed production environments, partnering with product, data, and infrastructure teams to deliver robust solutions.

This hands‑on leadership position requires deep Python expertise, strong architectural fundamentals, and experience driving SDLC best practices, automated testing, and operational support.