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You will design and operate distributed systems for a data syncing engine, ensuring reliable and performant data movement across multi-cloud environments. The role involves building streaming capabilities, optimizing system performance, and scaling infrastructure to meet data residency and growth requirements.
Join the Core team at a data activation platform company, building and operating the distributed systems behind its data syncing engine. You will own high-impact projects that support reliable, performant data movement across multi-cloud and multi-region environments.
Own projects from initial design through production delivery with significant autonomy.
Build and optimize the core data syncing engine for large-scale data movement.
Develop streaming capabilities for real-time syncing from sources such as webhooks and message queues.
Identify system bottlenecks and design solutions that support substantial growth.
Improve API latency and build caching layers to meet performance goals.
Extend multi-region and multi-cloud infrastructure to support data residency requirements.
Work with customers on scaling challenges and contribute to platform reliability.
At least 7 years of backend software engineering experience, with deep distributed systems expertise.
Experience building scalable data sync engines or event collection and streaming services that support critical systems and large data volumes.
Strong systems design fundamentals and experience scaling systems through significant growth.
Production experience with Kafka, SQL databases, Kubernetes, Docker, and message queues.
Familiarity with the infrastructure and design of streaming and batch processing frameworks such as Spark and Flink.
Experience at a high-growth startup and a record of owning complex systems.
Strong computer science fundamentals, communication skills, and ability to learn quickly.
Base salary range: $180,000 to $320,000 USD annually. Visa sponsorship is available.
Remote, United States.
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