How much experience is required?

At least 10 years of relevant experience for this Staff Software Engineer, Payments Intelligence role.

What's the tech stack?

Joblaze extracted these technologies from the posting: Airflow, Flyte, Java, Kafka, Mongo, Python.

What seniority level is this role?

Stripe targets staff-level candidates for this position.

Is this full-time or contract?

Full-time for this Staff Software Engineer, Payments Intelligence role at Stripe.

Staff Software Engineer, Payments Intelligence at Stripe

Joblaze summary

In the role of Staff Software Engineer for Payment Intelligence at Stripe, the individual will focus on developing and refining AI-driven solutions that address key challenges in payments, such as fraud detection and transaction optimization. Candidates should possess extensive experience with distributed systems and a strong command of various programming languages, as they will work across the entire technology stack and collaborate closely with machine learning teams. This position is ideal for seasoned engineers with a background in strategic leadership and a proven ability to deliver impactful software solutions. The team emphasizes a quality-first engineering culture, ensuring high sta

Joblaze insights

Listed today — first seen on Joblaze October 23, 2026. Last confirmed on Stripe's careers page October 23, 2026.
This exact title is also open at 1 other location at Stripe: Seattle, New York, San Francisco.
Python appears in 32.9% of 304 comparable staff backend roles in United States; Airflow appears in 1.6% of 304 comparable staff backend roles in United States.

Quick facts

How much experience is required?: At least 10 years of relevant experience for this Staff Software Engineer, Payments Intelligence role.
What's the tech stack?: Joblaze extracted these technologies from the posting: Airflow, Flyte, Java, Kafka, Mongo, Python.
What seniority level is this role?: Stripe targets staff-level candidates for this position.
Is this full-time or contract?: Full-time for this Staff Software Engineer, Payments Intelligence role at Stripe.

From the original posting

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Payment Intelligence is comprised of multiple product teams building AI-first solutions to some of our customers’ biggest challenges, including fraud/abuse (Radar), payment optimizations (AuthBoost), Disputes, Authentication, and merchant analytics. We’re a mix of machine engineering engineers and full-stack software engineers impacting ~every Stripe transaction, creating revenue opportunities for Stripe and our customers, and helping protect the broader ecosystem.

We have the benefit and privilege of working on cutting edge technologies with incredible scale and reach while also working directly with our merchants every day to build the right products for their needs.

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