Senior Backend Engineer (Rust) - Build Agentic Fraud Platform

Footprint; New York, San Francisco (NY, CA); On-site; USD 150,000 - 240,000; Full time

Benefits offered by this job

Equity

Free lunch and dinner

Wellness stipend

Unlimited PTO

Health, dental, and vision insurance

Impact on identity & financial crime

Job summary

Footprint is hiring a backend engineer to design APIs and services powering verification, vaulting, and fraud checks. You will bridge the platform with agentic products and own features from data model through deployment, collaborating with designers and frontend teams to ship end-to-end capabilities.

You will report to the Head of Engineering and contribute to agent-shaped workloads, ensuring correctness, reliability, and security.

Qualifications

• 4+ years designing, building, and operating backend systems under real load.
• Shipped and operated an API used by external teams with maintained compatibility.
• Privacy, security, and trust show up in your first design sketch.
• Reason clearly about tradeoffs and chase failure modes other people call unlikely.
• Owned a service in production, including being the person paged for it.
• Conceded your own design to a better one and shipped it.

Responsibilities

• API and service design for verification, vaulting, and fraud checks.
• Own product areas from data model to deployment and planning conversations.
• Ensure correctness, reliability, and the security posture of services.
• Contribute to the agent-shaped work for Percy investigations.

Skills

Backend design

API ownership

Privacy by design

Trade-off analysis

Production ownership

Iterative design

Tools

Rust

Python

Postgres

AWS

Job description

Footprint is hiring a backend engineer to design APIs and services powering verification, vaulting, and fraud checks. You will bridge the platform with agentic products and own features from data model through deployment, collaborating with designers and frontend teams to ship end-to-end capabilities.

You will report to the Head of Engineering and contribute to agent-shaped workloads, ensuring correctness, reliability, and security.