distributed systems · data syncing
ABOUT THE ROLE
Join the core engineering team building and scaling the distributed systems behind a data activation platform. You will improve the systems that move customer data reliably and quickly, while helping shape infrastructure for a global customer base.
WHAT YOU'LL DO
- Analyze and optimize the data syncing pipeline to improve throughput and reduce sync times.
- Design systems for real-time and streaming syncs from sources such as webhooks and queues.
- Identify scaling and reliability bottlenecks, then architect solutions for substantial growth.
- Build and improve low-latency services that support real-time data access and personalization.
- Extend multi-region and multi-cloud infrastructure to support global availability and data residency needs.
- Own projects end to end and work with customers on complex scaling challenges.
WHAT WE'RE LOOKING FOR
- At least 7 years of software engineering experience, with deep hands-on experience building large-scale distributed backend systems.
- Experience designing and operating event collection or data streaming services that support critical systems.
- Working knowledge of message queues, Kafka, SQL databases, Kubernetes, and Docker.
- Experience scaling systems through major increases in usage or data volume; familiarity with data sync engines moving terabytes of data is valuable.
- Understanding of infrastructure-level systems and technologies such as Spark, Flink, and Kafka.
- Strong systems design fundamentals, communication skills, and ability to take ownership in a fast-moving environme