Staff Software Engineer, Streaming Infrastructure

Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

The Streaming Platform team’s mission is to enable real-time, reliable, and scalable data streaming across Robinhood’s products and infrastructure. We build and maintain foundational platforms that power communication between services and unlock streaming analytics across the company. Our systems are critical to Robinhood’s ability to build innovative financial products and deliver seamless experiences to our customers!

Here is an example of some of the exciting projects the team is working on!

• Robinhood’s Use of WarpStream for Logging 
• Robinhood’s Kafka Journey from EC2 to Kubernetes
• Robinhood’s Kafka Proxy

As a Staff Software Engineer, you’ll design, develop, and operate distributed systems that support core data pipelines and real-time event processing. You’ll collaborate with engineers across product, data, and ML teams to scale our platform, improve reliability, and enhance the developer experience across the company.

This role is based in our Bellevue, WA office, with in-person attendance expected at least 3 days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

• →Design and operate distributed data streaming platforms that scale to billions of events per day
• →Develop secure, performant, and highly reliable systems using technologies like Kafka, Flink, and Debezium
• →Collaborate closely with product, infrastructure, data, and ML teams to ensure the platform supports diverse use cases
• →Build tools and documentation to deliver a smooth, empowering experience for internal developers
• →Mentor and support other engineers to drive architectural decisions and long-term technical strategy

• 6+ years of professional experience in software engineering, including building distributed systems at scale
• A background in tools like Kafka, Flink and Debezium
• Proficiency in designing and implementing event-driven architectures and stream processing systems
• A passion for platform engineering and creating great experiences for other developers
• Strong communication and collaboration skills to work across technical teams