Job Description

This role owns the databases behind a fraud detection platform, keeping Postgres and Redis fast, available and affordable on AWS as data volumes grow. A strong candidate brings deep hands on Postgres work under real production load, scaling through replicas, partitioning and sharding, and infrastructure as code with Terraform. The person also needs solid Python in an application codebase, safe schema migration practice, and a habit of tying data decisions to business goals.

How it fits the AI era

AI tools speed up query analysis, runbook drafting and routine tuning, so the engineer can spend more time on architecture and capacity planning. The judgment calls stay human: deciding what to scale, when to migrate, and how much risk a change carries for customers whose fraud checks cannot pause. Reliability of the data layer remains the core of the job, and that is still built by people who understand the system.

How it builds AI experience

Working here means