Staff Software Engineer, Customer Onboarding Platform

Ripple
San Francisco, CA, United StatesPosted 27 March 2026

Job Description

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK: At Ripple, the Customer Onboarding Platform is where every customer’s journey begins — and it’s about to get a full-scale rebuild. We recently became a horizontal platform team serving all Ripple products. Our next chapter: Unwinding years of Salesforce-bound logic into modern, engineering-owned backend services. Integrating best-in-class vendors like Persona for KYC/KYB, while building the surrounding orchestration, data flows, and service layer. Designing the systems and data model that will make onboarding scalable, observable, and reliable across products. If you’re a Staff-level engineer who thrives on modernizing fragile systems, building robust services around vendor integrations, and driving architecture at company-wide scale, this is your opportunity. WHAT YOU’LL DO: 8+ years of experience in Software Engineering. Lead the design and development of distributed, cloud-native backend services that power onboarding across Ripple’s product suite. Partner with Product, Compliance, and other engineering teams to design scalable orchestration and data pipelines. Migrate core onboarding logic out of Salesforce into resilient, observable services and a dedicated persistence layer. Build platform capabilities that enable faster onboarding with fewer customer touchpoints — while preserving trust and compliance. Contribute to foundational data modeling work that will feed into Ripple’s future identity platform (while ownership of Identity will move to a dedicated team). Champion engineering excellence in code quality, testing, and operational practices. Mentor engineers and help grow a lean, high-impact team. WHAT YOU'LL BRING: Deep backend engineering experience in modern, cloud-native, distributed systems. Proven track record designing and delivering large-scale systems in complex environments. Strong API design and integration skills (REST and/or gRPC). Experience with cloud platforms (AWS preferred) and container orchestration (Kubernetes, ECS). Comfort navigating and reducing technical debt while delivering business value. Leadership skills: can set technical direction, mentor others, and influence cross-team decisions. Preferred (But Not Required) Experience with our current stack: Java + Spring Boot. We welcome candidates from other backend stacks (Go, Kotlin, C#, Python, Rust, etc.) who can quickly learn JVM technologies. Event-driven architecture (Kafka, SNS/SQS, etc.). Exposure to frontend frameworks (React, Vue, etc.) for full-stack capability. Domain knowledge in fintech, regtech, KYC/KYB, identity verification, or compliance-heavy systems. For positions that will be based in CA, the annual salary range for this position is below. Actual salaries may vary based on numerous factors including, among other things, an individual applicant’s experience and qualifications for the position. This range does not include equity or additional compensation, such as bonuses or commissions. CA Annual Base Salary Range $208,000 $260,000 USD WHO WE ARE: Do Your Best Work The opportunity to build in a fast-paced start-up environment with experienced industry leaders A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning. Thrive in an environment where no matter what race, ethnic ... (truncated, view full listing at source)
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