distributed systems · data activation
ABOUT THE ROLE
Join the core engineering team building and scaling distributed systems for a data activation platform. You will improve the systems that move large volumes of customer data, working across performance, reliability, and multi-region infrastructure.
WHAT YOU'LL DO
- Analyze and optimize the end-to-end syncing pipeline to move customer data more quickly.
- Design systems that support real-time and streaming data sources, including webhooks and queues.
- Identify scaling and reliability bottlenecks, then architect solutions for significant growth.
- Build and improve low-latency caching services for real-time personalization use cases.
- Develop and operate multi-region, multi-cloud infrastructure, including support for data residency needs.
- Own projects from design through delivery and work directly with customers on complex scaling challenges.
WHAT WE'RE LOOKING FOR
- At least 7 years of software engineering experience, with deep hands-on expertise in distributed systems and backend engineering.
- Experience building complex, business-critical backend systems and scaling them through substantial growth.
- Background creating event collection or data streaming services, and experience with message queues, Kafka, SQL databases, Kubernetes, and Docker.
- Strong systems design fundamentals and familiarity with infrastructure-level technologies such as Spark, Flink, or Kafka.
- Experience building scalable data sync systems that process and move large data volumes is valuable.
- Strong communication skills, sound technical judgment, a