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, supporting a global customer base and a growing set of real-time use cases.
What You'll Do
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Analyze and optimize the syncing pipeline to move large volumes of data to customer destinations more quickly.
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Build toward real-time syncing and support streaming data sources such as webhooks and queues.
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Identify scaling and reliability bottlenecks, then design systems to support substantial growth.
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Develop low-latency caching capabilities on top of data warehouses for real-time personalization use cases.
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Extend multi-region and multi-cloud infrastructure to support global availability and data residency needs.
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Own projects from design through delivery and work directly with customers on complex scaling challenges.
What We're Looking For
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At least 7 years of software engineering experience, with strong hands-on depth in distributed systems and backend engineering.
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Experience building and scaling complex, business-critical systems through significant growth, including event collection, data streaming, or data sync services.
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Practical experience with message queues, Kafka, SQL databases, Kubernetes, and Docker.
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Strong systems design fundamentals and an understanding of how large-scale distributed systems behave.
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Experience moving very large data volumes, ideally at terabyte-per-day scale, and familiarity with infrastructure-level tools such as Spark, Flink, or Kafka.
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Strong communication skills, ownership, and the ability to learn quickly in a high-growth environment.
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Strong computer science fundamentals and a backend-focused background.
Compensation & Benefits
Base salary range: $180,000 to $320,000 USD annually. Visa sponsorship is available.
Location
Remote, with a primary location in the United States.
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