Founding Software Engineer (ML Infra)

Koah; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

A tech-driven advertising company is seeking engineers who excel in debugging and optimizing performance. You will work on building systems that support fast and reliable ad delivery. Ideal candidates enjoy data-driven decision-making and have experience with tools like Ruby on Rails, PostgreSQL, and Redis. Join us in building high-volume, low-latency analytics platforms while owning the platform side of projects.

Qualifications

• Experience with performance optimization techniques.
• Strong understanding of data structures and algorithms.
• Ability to implement observable and reliable systems.

Responsibilities

• Build data pipelines for real-time analytics.
• Optimize SQL queries for reduced latency.
• Enhance ad matching algorithms using data analysis.

Skills

Debugging

Performance optimization

Data analysis

Detail-oriented

Full-stack development

Tools

Ruby on Rails

React

TypeScript

PostgreSQL

Redis

Job description

Tooling

• Infra: Render (app + workers), AWS (RDS, S3, Kafka), Grafana for metrics and logs

• Data: PostgreSQL (primary), ClickHouse (analytics), Redis (caching & rate limiting)

• Core Stack: Ruby on Rails, React, TypeScript

• SDKs: Flutter, React Native, Android (Kotlin, Compose), iOS (Swift)

We’re looking for engineers who like digging into systems and making them fast, reliable, and easy to operate. You’ll help us deliver ads quickly, track performance accurately, and scale the platform as we grow. We’re building systems that will soon operate at the scale of modern analytics platforms — high-volume, low-latency, and deeply queryable.

Example projects

• Build data pipelines using Debezium to stream real-time changes from PostgreSQL to our OLAP database for analytics workloads

• Reduce p99 latency in critical write paths by optimizing SQL query execution plans, implementing robust retry mechanisms, and enforcing strict timeouts for third-party services

• Tune conversion and clickthrough rate metrics in our core ad matcher from analyzing impression and click data

• Enhance ad matching algorithms using regression analysis to identify data patterns and develop hypotheses for new predictive features that improve conversion likelihood

• Set up experiment tracking and observability with logs and custom metrics that make it easy for us to understand why certain ads are chosen

You might be a fit if

• You like debugging and optimizing performance

• You are detail oriented and use data to support your claims

• You enjoy digging deeply and owning the platform side supporting product

• You enjoy experimentation, measuring, and creating reliable systems