Remote Distributed Systems Engineer: Low-Latency Pipelines

Netflix; Charleston (WV); Remote; USD 27,552 - 41,328; Full time

Job summary

Netflix in Charleston is seeking a Distributed Systems Engineer to design and operate high‑scale data pipelines and services. You will build reliable, low‑latency infrastructure to support the company's global streaming platform.

The role focuses on Java-based systems, Kafka and Flink, performance tuning, and RESTful service design. You will collaborate with product, data, and platform teams, contribute to Netflix OSS, and share knowledge across the engineering organization.

Qualifications

• 5+ years of experience building large-scale distributed systems.
• Strong background in designing and implementing RESTful services.
• Proficiency in Java or another object-oriented programming language.
• Experience with multithreaded programming and performance tuning.
• Knowledge of Python or Scala is desirable.

Responsibilities

• Design, develop, and maintain distributed data pipelines and services.
• Build and scale high-availability, low-latency data infrastructure using Java, Kafka, Flink, and other distributed systems.
• Collaborate across engineering, product, and technical program management teams to deliver features.
• Participate in design reviews, code reviews, and knowledge sharing.
• Contribute to Netflix OSS and engage with the open-source community.

Skills

Distributed systems

RESTful services

Java

Multithreading

Python/Scala (desirable)

Education

Bachelor's degree in CS/CE or related field

Tools

Kafka

Flink

Job description

Netflix in Charleston is seeking a Distributed Systems Engineer to design and operate high‑scale data pipelines and services. You will build reliable, low‑latency infrastructure to support the company's global streaming platform.

The role focuses on Java-based systems, Kafka and Flink, performance tuning, and RESTful service design. You will collaborate with product, data, and platform teams, contribute to Netflix OSS, and share knowledge across the engineering organization.