AI-Native Staff Engineer - Remote & High-Impact

South Geeks LLC

United States

Remote

USD 150,000 - 210,000

Full time

14 days+
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Benefits offered by this job

100% remote work
Competitive payment in USD

Job summary

South Geeks LLC is seeking a Staff Software Engineer for a fully remote, AI-native role. You will guide architectural decisions, leverage AI to accelerate development, and influence the engineering organization toward scalable, secure systems.

You’ll operate just below principal level while driving technical leadership across product and executive stakeholders. The ideal candidate has mastery of modern languages (Ruby, Python, JS/TS, PHP) and deep distributed systems experience, with an emphasis

Qualifications

  • Bachelor's degree in Computer Science or related field.
  • Experience building large-scale services in Ruby, Python, JS/TS, or PHP.
  • Strong knowledge of distributed systems and relational databases.
  • Experience with AWS infrastructure and security best practices.

Responsibilities

  • Partner with product, leadership, design, sales, and marketing to deliver simple, effective features.
  • Mentor the engineering team on AI-driven development to improve velocity and quality.
  • Architect systems that scale securely and reliably.
  • Lead architectural decisions and evolve legacy monoliths toward modern stacks.
  • Review code and set technical direction with stakeholders.

Skills

Ruby
Python
JavaScript/TypeScript
PHP

Education

Bachelor's degree in Computer Science or related field

Tools

MySQL
PostgreSQL
AWS

Job description

South Geeks LLC is seeking a Staff Software Engineer for a fully remote, AI-native role. You will guide architectural decisions, leverage AI to accelerate development, and influence the engineering organization toward scalable, secure systems.

You’ll operate just below principal level while driving technical leadership across product and executive stakeholders. The ideal candidate has mastery of modern languages (Ruby, Python, JS/TS, PHP) and deep distributed systems experience, with an emphasis

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