Senior Software Engineer - Confluent Cloud Traffic

IBM

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Work type
On-site
Location
San Jose, CA
Posted
3 days ago

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

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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 San Jose, you will play a pivotal role in developing and maintaining scalable infrastructure for real-time data streaming. Your responsibilities include designing and implementing robust traffic management systems to ensure high availability and performance of Confluent's cloud services. You will work closely with cross-functional teams to identify bottlenecks, optimize resource utilization, and enhance the reliability of our distributed systems. The ideal candidate possesses expertise in Java or Scala, along with a strong understanding of Kubernetes, Docker, and microservices architecture. Experience with monitoring tools like Prometheus and Grafana is highly desirable, as you will be instrumental in building observability into complex cloud-native applications at scale.

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 algorithms to handle complex data routing challenges efficiently.
  • Ensure system reliability through comprehensive testing and quality assurance processes.
  • Collaborate on the integration of new features with existing infrastructure.

What we're looking for

  • 5+ years of software engineering experience in cloud-based systems.
  • Proven track record in developing and maintaining scalable traffic management solutions.
  • Expertise in Java or similar programming languages for backend development.
  • Strong understanding of microservices architecture and API design principles.
  • Experience with Kubernetes, Docker, and other containerization technologies.
  • Knowledge of monitoring tools like Prometheus and Grafana for system observability.

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