Software Engineer - Backend
Listed by employer · Checked
Older posting · still listed ·
- Work arrangement
- onsite
- Employment
- FullTime
- Stated compensation
- USD 180,000–250,000 1 YEAR
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Requirements
1 with evidence8 unclear or unstated- Remote policy
- onsite
“Provider workplace type: onsite”
From employer posting metadata - Employment type
- FullTime
- Compensation
- USD 180,000–250,000 1 YEAR
8 fields not stated in this posting
- Employer sponsorship
- Not specified
- Geographic scope
- Not specified
- Degree requirement
- Not specified
- Security clearance
- Not mentioned
- Timezone / hours
- Not specified
- Citizenship requirement
- Not mentioned
- Minimum experience (years)
- Not specified
- Work authorization
- Not specified
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Original job description
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Who We Are
Koah Labs is building the ad network to power the next generation of AI-native products. Our mission is to help publishers monetize and help advertisers reach the right audience — without compromising speed, UX, or privacy.
We’re a small, tight-knit team in San Francisco with backgrounds at X, Apple, Meta and early-stage startups. We’ve raised from top investors and are growing fast with real traction on both the publisher and advertiser sides of the marketplace.
Working at Koah means joining at the ground floor: you’ll ship code that shapes the company and the ecosystem we’re building. We move quickly, operate with high trust, and care deeply about craft.
Our Stack
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 user's 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
You might be a fit if
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
Matched by role category. Review each posting’s requirements before applying.