Distributed Systems Engineer - Real-Time Data (Remote)

Royper Royco LLC

United States

A distancia

USD 180.000 - 320.000

Jornada completa

hace 41 horas
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Descripción de la vacante

Royper Royco LLC is seeking an experienced software engineer to join the core engineering team building the data activation platform. You will optimize the syncing pipeline, enable real-time streaming, and scale multi-region systems to support a growing global customer base.

You will own projects end-to-end, collaborate with customers, and push the boundaries of low-latency data movement. The role emphasizes design, performance, reliability, and close collaboration with product and customers to

Formación

  • 7+ years of software engineering experience in distributed systems.
  • Experience building and scaling complex, business-critical systems through growth.
  • Hands-on with event collection, data streaming or data sync services.
  • Strong CS fundamentals and backend-focused background.

Responsabilidades

  • Analyze and optimize the syncing pipeline to move large data volumes quickly.
  • Build toward real-time syncing and support streaming data sources like webhooks and queues.
  • Identify bottlenecks and design scalable, reliable systems for growth.
  • Develop low-latency caching on top of data warehouses for real-time use cases.
  • Extend multi-region and multi-cloud infrastructure for global availability and residency needs.
  • Own projects from design through delivery and collaborate with customers on scaling challenges.

Conocimientos

Distributed systems
Backend engineering
Strong communication
Ownership mindset
Learning quickly

Herramientas

Kafka
SQL databases
Kubernetes
Docker
Spark/Flink

Descripción del empleo

Royper Royco LLC is seeking an experienced software engineer to join the core engineering team building the data activation platform. You will optimize the syncing pipeline, enable real-time streaming, and scale multi-region systems to support a growing global customer base.

You will own projects end-to-end, collaborate with customers, and push the boundaries of low-latency data movement. The role emphasizes design, performance, reliability, and close collaboration with product and customers to

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