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You will optimize and scale distributed data syncing pipelines and infrastructure to support global, multi-region operations. Additionally, you will develop low-latency data services and design systems to handle real-time personalization and streaming data.
Join the core systems team building and improving the distributed infrastructure behind a data activation platform. You will help move large volumes of customer data reliably and efficiently across a global, multi-cloud and multi-region environment.
Analyze and optimize the data syncing pipeline to improve throughput and reduce sync times.
Build toward real-time syncing capabilities, including support for streaming sources such as webhooks and queues.
Identify scalability and reliability bottlenecks, then design systems to support continued growth.
Develop and operate low-latency data services for real-time personalization use cases.
Extend multi-region infrastructure to support global availability and data residency needs.
Own projects end to end, collaborate directly with customers on scaling challenges, and help shape team priorities.
At least 7 years of software engineering experience, including hands-on work with distributed systems and backend services.
Experience building and scaling event collection, data streaming, or other business-critical systems through substantial growth.
Working knowledge of message queues, Kafka, SQL databases, Kubernetes, and Docker.
Strong systems design fundamentals and an understanding of how large-scale distributed systems behave.
Experience working close to the infrastructure layer; familiarity with technologies such as Spark or Flink is valuable.
Clear communication, strong ownership, and the ability to learn quickly and work effectively in a high-growth environment.
Base salary range: $180,000 to $320,000 USD annually. Visa sponsorship is available.
Remote, United States.
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