Software Engineer, Referrals & Incentives

Cash App

It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 47 million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible.

Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We’ve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.

Check out our locations, benefits, and more at cash.app/careers.

The Role

At Cash App, we are building an Operating System to power an infinitely scalable superapp. The Operating System organization is responsible for curating core experiences that connect our products intuitively for our customers; building the shared services and technical architecture that are performant and promote development velocity, and experimentation that enables us to constantly iterate on remarkable experiences for our customers.

As a software engineer on the Referrals and Incentives team, you will influence many aspects of our business through building software that enables product teams across Cash to grow by helping customers adopt their products and features through various referrals and incentives programs.

You Will

• Partner closely with product managers, designers, engineers, and business leads to scope, plan, design, and build new features in the referrals and incentives platform.
• Contribute to our backend services written in Java/Kotlin along with other modern stacks running on AWS/Kubernetes.
• Collaborate with other engineers, product managers, data analysts, data scientists, and machine learning engineers on planning and implementing frictionless user experiences of product features through microservices, APIs, and web-apps.
• Own features and functions throughout their lifecycle from inception, rollout, launch, scale and iteration.
• Hold your teammates—and yourself—to high engineering standards

Qualifications

• 5+ years of software development or equivalent experience
• An open mind and desire to learn
• A strong desire to perform and grow as an engineer
• A pragmatic approach with a focus on delivery
• A drive to find flaws in a system with many moving parts and take whatever steps are necessary to fix them
• Bachelor’s Degree or Diploma in Computer Science, Computer Engineering, Software Engineering, or equivalent experience

Technologies We Use & Teach

• Java, Kotlin
• Aurora, DynamoDB, Redis, Temporal
• HTTP, JSON, gRPC, Protocol Buffers
• Amazon Web Services (AWS)
• Kafka, event-driven architecture, microservices
• DataDog, Prometheus, SignalFx

We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We also consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.

We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.

Block will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.