Founding Engineer, Internal Fraud Platform — Equity

United States Digital Space LLC; United States; Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Health Insurance

401(k) Retirement Savings Plan

Employee Stock Participation Plan

Flexible paid time off

Parental leave

Job summary

United States Digital Space LLC is seeking a founding software engineer for its Internal Fraud Platform. You will build and operate services that ingest fraud signals from internal systems, collaborate with data science, and deliver actionable tools for analysts.

As an early engineer, you will shape architecture, implement end-to-end solutions, and ensure reliable, scalable pipelines while partnering with cross-functional teams to combat fraud and abuse across the platform.

Qualifications

• Five or more years of professional software engineering experience, or equivalent practical experience.
• Experience building and operating distributed systems or backend services in production.
• Experience designing and building data or event pipelines (e.g., Kafka, Pub/Sub, or similar).
• Strong understanding of RESTful APIs, service security, and API standards such as OpenAPI, OAuth, or JWT.
• Working knowledge of SQL, data modeling, and relational databases such as PostgreSQL or MySQL.
• Comfort owning ambiguous, 0-to-1 problems with limited existing infrastructure or precedent.
• Strong troubleshooting, cross-functional communication, and project ownership skills.

Responsibilities

• Design, build, and operate the services and pipelines that ingest fraud-relevant events from internal systems (billing, signup, support, and others), evaluate them, and route decisions and case data to the right destinations.
• Partner with the team's Data Scientists and Machine Learning Engineer to expose the event data and contextual features their models need, and integrate model decisions back into the pipelines and tools that act on them.
• Create the internal tools and workflows that let Trust & Safety, Support, and Finance analysts investigate flagged accounts and events and take action.
• Drive initiatives from problem definition through design, implementation, rollout, and operation with minimal oversight.
• Build fault-tolerant systems that handle retries, failures, and high event volumes without dropping or duplicating signals, and maintain operational health.
• As one of the team's first engineers, help establish architecture patterns, tooling choices, and engineering standards.
• Work with Trust & Safety, Data Science, Billing/Fintech, Support, and Product teams to understand fraud vectors and turn them into engineering requirements.

Skills

Distributed systems

Backend services

Data pipelines

REST APIs

SQL & relational DBs

Ambiguity ownership

Troubleshooting

Tools

Kafka

Pub/Sub

OpenAPI

OAuth

JWT

PostgreSQL

MySQL

Job description

United States Digital Space LLC is seeking a founding software engineer for its Internal Fraud Platform. You will build and operate services that ingest fraud signals from internal systems, collaborate with data science, and deliver actionable tools for analysts.

As an early engineer, you will shape architecture, implement end-to-end solutions, and ensure reliable, scalable pipelines while partnering with cross-functional teams to combat fraud and abuse across the platform.