Senior Real-Time Streaming Platform Engineer

Robinhood; Washington; On-site; USD 196,000 - 230,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Equity ownership

Bonus programs

Catered meals

Job summary

Robinhood is seeking a Senior Software Engineer to design, develop, and operate distributed data streaming systems that power real-time event processing across products and infrastructure. You will collaborate with product, data, and ML teams to scale the platform and improve reliability.

The role emphasizes mentoring engineers, building developer tools, and delivering an exceptional in-person collaboration experience from the Bellevue, WA office.

Qualifications

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

Responsibilities

• 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.

Skills

Distributed systems

Event-driven architectures

Platform engineering

Communication

Tools

Kafka

Flink

Debezium

Job description

Robinhood is seeking a Senior Software Engineer to design, develop, and operate distributed data streaming systems that power real-time event processing across products and infrastructure. You will collaborate with product, data, and ML teams to scale the platform and improve reliability.

The role emphasizes mentoring engineers, building developer tools, and delivering an exceptional in-person collaboration experience from the Bellevue, WA office.