Senior Full-Stack Engineer — AI-Driven Revenue Platform

Revenue Analytics

Atlanta (GA)

On-site

USD 140,000 - 190,000

Full time

14 days+
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Job summary

Revenue Analytics in Atlanta is seeking a Senior Full-Stack Software Engineer to own end-to-end delivery of our analytics platform, building Python back-end and Angular front-end, and mentoring peers.

You will design scalable data systems on AWS, implement AI/ML features, and collaborate with product, science, and engineering to turn pricing challenges into reliable production software. This role demands strong CS fundamentals and a proven track record shipping SaaS applications.

Qualifications

  • 7+ years shipping production software full-stack in SaaS/multi-tenant environments.
  • Strong CS fundamentals; fluent in Python.
  • Deep experience with large datasets; SQL, PostgreSQL/Redshift, AWS data lake (S3, Athena, Lambda).
  • Front-end development with Angular or similar; end-to-end ownership.
  • AI/ML and LLM fluency; building AI features into products.
  • Experience using AI coding assistants to accelerate delivery while maintaining quality.
  • Demonstrated technical leadership and mentoring.

Responsibilities

  • Own full-stack features from discovery to production, across Python back-end and Angular front-end.
  • Collaborate with product managers to scope high-impact software initiatives.
  • Design and scale data systems across AWS and data lakes.
  • Build AI/ML and LLM-powered features with end-to-end ownership.
  • Mentor engineers and raise the team’s bar through code reviews and pairing.

Skills

Full-stack development
Python
CS fundamentals
AI/ML
LLM fluency
Mentoring
Technical leadership
Distributed systems

Tools

AWS
PostgreSQL
Redshift
S3
Athena
Lambda
Angular
Claude Code
Cursor
Copilot

Job description

Revenue Analytics in Atlanta is seeking a Senior Full-Stack Software Engineer to own end-to-end delivery of our analytics platform, building Python back-end and Angular front-end, and mentoring peers.

You will design scalable data systems on AWS, implement AI/ML features, and collaborate with product, science, and engineering to turn pricing challenges into reliable production software. This role demands strong CS fundamentals and a proven track record shipping SaaS applications.

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