Staff Full Stack Engineer, Payments Intelligence

What you'll do 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. Minimum 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