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, while helping shape infrastructure for a global customer base.

• 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.

Remote, United States.

• 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 environment.

• Strong computer science fundamentals and a backend engineering background.

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