Senior GenAI & Cloud Systems Engineer — Real-Time AI Remote

Extreme Networks

Seattle (WA)

Vor Ort

USD 170.000 - 200.000

Vollzeit

vor 8 Stunden
Sei unter den ersten Bewerbenden

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Zusammenfassung

Extreme Networks in Seattle and San Jose is seeking a Senior Software Engineer to help build scalable, real-time distributed systems and AI-enabled networking platforms. You will contribute to core cloud-native services processing large volumes of data and powering intelligent experiences across Extreme's portfolio.

You should have deep experience in distributed systems, cloud platforms, and mentoring engineers, with a track record of delivering production-ready software and driving

Qualifikationen

  • 5+ years across the full software development lifecycle.
  • 5+ years of programming in Python, Java, Go, or C++.
  • 3+ years leading the design and architecture of large-scale distributed systems on cloud platforms.
  • Experience in real-time microservices, stream processing, or AI/agentic systems.

Aufgaben

  • Lead development of core platforms processing large volumes of data and powering AI experiences.
  • Ensure systems are scalable, secure, observable, and reliable for enterprise use cases.
  • Collaborate across teams to advance intelligent networking and distributed data processing.
  • Experiment with emerging tech and launch state-of-the-art software and AI solutions.

Kenntnisse

Python
Java
Go
C++
Distributed systems
Cloud platforms
Real-time microservices
Leadership
Mentoring
Problem solving

Ausbildung

Bachelor’s degree in CS/Engineering/Math
Master’s degree in CS/Engineering/ML

Tools

Kafka
Spark
Flink
PySpark
MapReduce

Jobbeschreibung

Extreme Networks in Seattle and San Jose is seeking a Senior Software Engineer to help build scalable, real-time distributed systems and AI-enabled networking platforms. You will contribute to core cloud-native services processing large volumes of data and powering intelligent experiences across Extreme's portfolio.

You should have deep experience in distributed systems, cloud platforms, and mentoring engineers, with a track record of delivering production-ready software and driving

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