Software Engineer, Distributed Systems; Core

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, supporting a global customer base and a growing set of real-time use cases.

• Analyze and optimize the syncing pipeline to move large volumes of data to customer destinations more quickly.
• Build toward real-time syncing and support streaming data sources such as webhooks and queues.
• Identify scaling and reliability bottlenecks, then design systems to support substantial growth.
• Develop low-latency caching capabilities on top of data warehouses for real-time personalization use cases.
• Extend multi-region and multi-cloud infrastructure to support global availability and data residency needs.
• Own projects from design through delivery and work directly with customers on complex scaling challenges.

• At least 7 years of software engineering experience, with strong hands-on depth in distributed systems and backend engineering.
• Experience building and scaling complex, business-critical systems through significant growth, including event collection, data streaming, or data sync services.
• Practical experience with message queues, Kafka, SQL databases, Kubernetes, and Docker.
• Strong systems design fundamentals and an understanding of how large-scale distributed systems behave.
• Experience moving very large data volumes, ideally at terabyte-per-day scale, and familiarity with infrastructure-level tools such as Spark, Flink, or Kafka.
• Strong communication skills, ownership, and the ability to learn quickly in a high-growth environment.
• Strong computer science fundamentals and a backend-focused background.

Base salary range: $180,000 to $320,000 USD annually. Visa sponsorship is available.

Remote, with a primary location in the United States.