# Staff Full Stack Engineer, Payments Intelligence

**Company**: Stripe
**Location**: Seattle, New York, San Francisco
**Experience**: staff
**Job type**: full-time
**Category**: Engineering
**Industry**: Finance

**Apply**: https://job-boards.greenhouse.io/stripe/jobs/7986004?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_c3d8c852-f0a

## Description

## Job Overview

As a Staff Engineer on Payment Intelligence, you’ll work across our product portfolio to ensure we’re building in a consistent, efficient, and effective manner. Experience with large, distributed systems on the critical path will help candidates succeed, as will comfort working across the stack and interacting with ML teams and models.

## Responsibilities

- Define technical strategy for multiple experiences across the Payment Intelligence portfolio, with a focus on quality and performance

- Champion a quality-first engineering culture - establish standards, tooling, and processes that make it easy to ship high-quality code at scale

- Partner with some of Stripe’s largest merchants to co-build the future of payment-centric intelligence

- Partner cross-functionally with product, design, and ML colleagues to ship the very best software possible

- Work across the stack - contributing to infrastructure and foundational systems, but also FE, API, and ML-adjacent work.

## Requirements

- 10+ years of software engineering experience, including 5+ years of experience in a strategic technical leadership role

- Experience leading engineering team(s) working on Distributed systems, API design, and user facing products

- Proven track record of delivering pragmatic solutions that accelerate business growth

- Ability to drive projects at a high-level while also being hands on and contributing directly to technical solutions as necessary

- Effective communication skills and a proven ability to work cross-team, cross-org, and cross-functionally.

## Preferred Qualifications

- Experience with payments systems and/or fraud detection

- Familiarity with ML systems in production: model serving, training pipelines, observability, and evaluation

- Prior experience with 0-1 product builds: you've started with a blank page and ended with a production system, and you have clear opinions about what makes that process go well or poorly

- Experience across a range of software languages and frameworks; our stack includes Java, Ruby, Python, TypeScript, Kafka, Flyte, Airflow, and Mongo.

- Experience navigating ambiguity in a fast-moving organization - you can make confident technical decisions with incomplete information and update gracefully when new constraints emerge

## Skills

### Required
- Distributed systems
- API design
- Software engineering
- Technical leadership
- Communication skills

### Nice to have
- Payments systems
- Fraud detection
- ML systems
- Java
- Ruby
- Python
- TypeScript
- Kafka
- Flyte
- Airflow
- Mongo

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/stripe/jobs/7986004?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)