Software Engineer II Authentication & Authorization

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.

Job Overview

As a Software Engineer II on Ripple's Authentication & Authorisation platform team, you'll contribute to how identity works across our growing portfolio of payment, custody, and liquidity products. Our products have grown up using different identity providers and protocols, and we're now bringing them together into a unified, consistent experience — while also building the fine-grained authorisation primitives that teams across Ripple rely on every day.

How We Work

AI tooling is core to how our team works day-to-day — coding assistants, LLM-based workflows, and agentic tools across design, development, and operations. We're looking for people who already use these fluently, not just curious about them.

Key Responsibilities

• Build and ship features and components within Ripple's identity platform, with guidance from more senior engineers on the team
• Contribute to platform services running on Kubernetes, learning the patterns we use for reliability, observability, and secure secret management
• Participate in design discussions and code review, bringing thoughtful questions and a willingness to learn
• Help maintain and improve existing services, including investigating issues and contributing fixes
• Grow toward independent ownership of well-scoped projects over time

What We're Looking For

• Backend engineering experience in Golang or Java, with some exposure to building or running services in Kubernetes
• Demonstrated ability to deliver well-scoped features in a production environment
• Hands-on experience using AI coding assistants and LLM-based tools as part of your day-to-day engineering workflow
• Comfortable communicating clearly with teammates, asking questions, and contributing to written technical discussions

Nice to Have

• Exposure to identity, authentication, or authorisation systems in any capacity
• Familiarity with modern authentication protocols such as OAuth 2.0, OIDC, or SAML
• Experience working on platform or infrastructure teams