Remote Lead Python Engineer for Enterprise Systems

United States Digital Space LLC

United States

Remote

USD 90,000 - 150,000

Full time

14 days+

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Job summary

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. We seek an experienced Lead Python Engineer to design, build, and enhance complex enterprise-grade applications and data-intensive services in a hands-on role.

The ideal candidate has deep Python expertise, strong software architecture fundamentals, and can collaborate with product, data, and infra teams to translate business

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related technical discipline.
  • Five or more years of applied Python development experience in enterprise-grade environments.
  • Experience building and maintaining large-scale production applications with uptime requirements.
  • Hands-on experience with Oracle, MS SQL Server, PostgreSQL, or Sybase (queries and schema design).
  • Understanding of the full software development lifecycle (SDLC), including requirements, design, build, test, release, and ongoing support.
  • Proven hands-on experience across system design, development, testing, and ops.

Skills

Python development
SDLC knowledge
Agile methodologies
CI/CD practices
Communication skills
Production debugging

Education

Bachelor’s degree in Computer Science, Engineering, or a related technical discipline

Tools

Oracle
MS SQL Server
PostgreSQL
Sybase
UNIX/Linux
Shell scripting
AWS (S3, DynamoDB, Glue)

Job description

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. We seek an experienced Lead Python Engineer to design, build, and enhance complex enterprise-grade applications and data-intensive services in a hands-on role.

The ideal candidate has deep Python expertise, strong software architecture fundamentals, and can collaborate with product, data, and infra teams to translate business

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