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# Software Engineer - Backend

- **Company:** KOAH LABS INC.
- **Location:** San Francisco, CA, United States
- **Contract:** Permanent contract
- **Skills:** Flutter, Artificial Intelligence, Amazon Web Services, Android Software Development, Apple IOS, Software Debugging, Design of User Interfaces, Human-Computer Interaction, Python (Programming Language), PostgreSQL, Ruby on Rails, Redis, Software Engineering, TypeScript, ReactJS, Grafana, Backend, Cloudflare, Apache Kafka, React Native, Vertica, Terraform
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/software-engineer-backend-san-francisco-ca--a8cdd496-6be0-4e19-8358-bdcb8c72f9c6

## About the Role

Software Engineering, Artificial Intelligence (AI), User Interface/Experience (UI/UX), Power Generation, Startup, Apple, Ecosystems, React Native, iOS, Android, * You like debugging and optimizing performance

 * You are detail oriented and like to create good abstractions that others rely on
 * You enjoy experimentation, measuring, and creating reliable systems
 * You want ownership of foundational systems
 * You enjoy working closely with product and data science to turn ambiguous problems into measurable outcomes

## Description

* Infra: Terraform, AWS, LGTM (Loki, Grafana, Tempo, Mimir), Tailscale, Cloudflare
 * Data: PostgreSQL, ClickHouse, Redis, Kafka, Python
 * Core Application: Ruby on Rails, React, TypeScript
 * SDKs: Flutter, React Native, Android, iOS

Example projects

 * Build scalable data models that support multiple impressions for an ad request allowing us to align publisher and advertiser interests
 * Design abstractions that allow us to experiment and ship new formats that allow for a flexible way of tracking engagement events
 * Build a low-latency frequency capping system to improve an end users experience and prevent ad fatigue
 * Create schemas to represent high-volume ad bidding with ad exchanges to increase the diversity of the ad demand on platform
 * Evolve our real-time auction and ad-decisioning systems to improve publisher, advertiser, and user outcomes