# Staff Full Stack Engineer, Payments Intelligence

**Company:** [Stripe](https://hotfix.jobs/companies/stripe)
**Location:** Seattle, WA, New York, NY, San Francisco, CA
**Role:** Fullstack Engineering
**Experience:** 10+ years
**Skills:** Distributed Systems, API Design, Machine Learning, model serving, training pipelines, Observability, evaluation, Java, Ruby, Python, TypeScript, Kafka, flyte, Airflow, MongoDB
**Posted:** 2026-08-04

> Leads technical strategy and hands-on development across the stack for payment intelligence products, partnering with product, design, ML teams, and major merchants. Requires 10+ years of software engineering experience, strategic technical leadership, and expertise in distributed systems and user-facing products.

## Job Description

## 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 by establishing standards, tooling, and processes that make it easy to ship high-quality code at scale.
- Partner with large merchants to co-build the future of payment-centric intelligence.
- Collaborate cross-functionally with product, design, and ML colleagues to ship high-quality software.
- Work across the stack, contributing to infrastructure and foundational systems as well as frontend, API, and ML-adjacent work.

## Requirements
- 10+ years of software engineering experience, including 5+ years in a strategic technical leadership role.
- Experience leading engineering teams 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 remaining hands-on and contributing directly to technical solutions as needed.
- Effective communication skills and the ability to work across teams, organizations, and functions.

## Nice-to-haves
- Experience with payment systems and/or fraud detection.
- Familiarity with ML systems in production, including model serving, training pipelines, observability, and evaluation.
- Experience building 0-to-1 products from initial concept through production.
- Experience across software languages and frameworks such as Java, Ruby, Python, TypeScript, Kafka, Flyte, Airflow, and MongoDB.
- Experience navigating ambiguity in a fast-moving organization and making confident technical decisions with incomplete information.

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**Apply:** https://hotfix.jobs/jobs/b990cb28-359f-4005-9f66-3b6440782396
**Canonical:** https://hotfix.jobs/jobs/b990cb28-359f-4005-9f66-3b6440782396