Software Engineer, Distributed Systems (Core)

True Talent Solutions Partners · posted 2 days ago

Open to candidates in United States

$180k–$320k · Full-time · Senior

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What this job asks for

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Must have

  • •7+ years software engineering experience
  • •Distributed systems and backend engineering depth
  • •Experience scaling business-critical systems
  • •Message queues, Kafka, SQL, Kubernetes, Docker
  • •Strong systems design fundamentals
  • •Experience moving very large data volumes

Nice to have

  • •Real-time syncing experience
  • •Multi-region/multi-cloud infrastructure

Tools and technologies

Kafka, SQL, Kubernetes, Docker, Spark, Flink

Read the full posting

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

  • Analyze and optimize the syncing pipeline to move large volumes of data to customer destinations more quickly.

  • Build toward real-time syncing and support streaming data sources such as webhooks and queues.

  • Identify scaling and reliability bottlenecks, then design systems to support substantial growth.

  • Develop low-latency caching capabilities on top of data warehouses for real-time personalization use cases.

  • Extend multi-region and multi-cloud infrastructure to support global availability and data residency needs.

  • Own projects from design through delivery and work directly with customers on complex scaling challenges.

What We're Looking For

  • At least 7 years of software engineering experience, with strong hands-on depth in distributed systems and backend engineering.

  • Experience building and scaling complex, business-critical systems through significant growth, including event collection, data streaming, or data sync services.

  • Practical experience with message queues, Kafka, SQL databases, Kubernetes, and Docker.

  • Strong systems design fundamentals and an understanding of how large-scale distributed systems behave.

  • Experience moving very large data volumes, ideally at terabyte-per-day scale, and familiarity with infrastructure-level tools such as Spark, Flink, or Kafka.

  • Strong communication skills, ownership, and the ability to learn quickly in a high-growth environment.

  • 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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