Senior Software Engineer - Confluent Cloud Traffic

IBM

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Work type
On-site
Location
Bellevue, WA
Posted
3 days ago

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Similar $180k
$127k most similar roles pay here $228k

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About IBM

IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.

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Listed pay typically runs $1,000,000–$1,000,000 across 8 roles with salary data.

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TL;DR · Senior Software Engineer - Confluent Cloud Traffic

As a Senior Software Engineer on the Confluent Cloud Traffic team in Bellevue, you will play a pivotal role in developing and maintaining scalable systems that manage traffic for Confluent's cloud-based data streaming platform. Your day-to-day responsibilities include designing and implementing robust solutions to handle high-volume data streams, ensuring system reliability and performance optimization. You will work with cutting-edge technologies such as Kafka, Kubernetes, and Docker, leveraging Java and Python to build innovative features. This role requires expertise in distributed systems, microservices architecture, and cloud-native development practices. The team tackles complex challenges related to real-time data processing at massive scale, making it an ideal environment for engineers passionate about pushing the boundaries of what's possible with modern software engineering techniques.

What you'll do

  • Design and implement highly scalable systems for Confluent Cloud Traffic.
  • Optimize performance of traffic management solutions to enhance user experience.
  • Develop robust APIs for real-time data processing and analytics capabilities.
  • Ensure system reliability through continuous monitoring and proactive maintenance.
  • Integrate new technologies to improve efficiency and innovation in cloud services.

What we're looking for

  • 5+ years of software engineering experience in cloud-based systems.
  • Proficient in Java and at least one other programming language (e.g., Python, Go).
  • Strong understanding of distributed systems and microservices architecture.
  • Experience with Kafka or similar streaming platforms is highly desirable.
  • Solid background in system design, scalability, and performance optimization.

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