Staff Full Stack Engineer, Payments Intelligence

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.