Senior Software Engineer, Fraud Risk

Company Description
Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn't work together.
So we expanded into software and started building integrated, omnichannel solutions - to help sellers sell online, manage inventory, offer buy now, pay later functionality through Afterpay, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we've embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale.
Today, we are a partner to sellers of all sizes - large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We're building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same.
Job Description
Risk Engineering works to protect Square and our customers $25B+ in payments from fraud and payment disputes. We build systems to detect and respond to potential fraud threats, provide outstanding tools to agents for investigating fraud events, and give our customers seamless web and mobile experiences to manage and fight payment disputes. Our mission is to protect Square, protect our customers, and make a complicated and sometimes painful process understandable to all.
Fraud Risk is looking for a Senior Software Engineer to help us build solutions that further these goals. You will collaborate with teams across the company on new product and market launches to fight fraud and make realtime data available for scalable ML-based fraud decisioning. Help us solve these challenging problems with data science, machine learning, and efficient tooling!
You will:

• Work with teams and roles across Square to develop new solutions and improve existing processes addressing fraud
• Develop essential tooling to act quickly on potential fraud
• Design fault-tolerant systems so the team can be brave, move fast, and break things, without ever showing a negative impact to customers
• Advocate and model engineering best practices
• Mentor other engineers

Qualifications
You have:

• 5+ years of software engineering experience
• Interest in working full-stack across multiple technical domains, including backend microservices and internal tooling
• Experience building products end to end - technical design, implementation, testing, launch, and maintenance
• Metrics-oriented mindset: you want your work to be measurable and impactful
• Comfortable working with a globally distributed team of data scientists, engineers, and risk experts

Technologies we use and teach:

• Java, Guice, Google Cloud Platform, Amazon Web Services
• Go, Ruby on Rails, Ember, React, GraphQL
• Protocol Buffers
• MySQL, Hibernate, jOOQ

Qualifications
You have:

• 5+ years of software engineering experience
• Interest in working full-stack across multiple technical domains, including backend microservices and internal tooling
• Experience building products end to end - technical design, implementation, testing, launch, and maintenance
• Metrics-oriented mindset: you want your work to be measurable and impactful
• Comfortable working with a globally distributed team of data scientists, engineers, and risk experts

Technologies we use and teach:

• Java, Guice, Google Cloud Platform, Amazon Web Services
• Go, Ruby on Rails, Ember, React, GraphQL
• Protocol Buffers
• MySQL, Hibernate, jOOQ