Senior Software Engineer - Confluent Cloud Traffic

IBM

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

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Similar $180k

$127k most similar roles pay here $228k

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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

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We are seeking a Senior Software Engineer to join our Confluent Cloud Traffic team in San Francisco. This role involves designing and implementing scalable solutions for managing traffic across our distributed systems, focusing on performance optimization and reliability. You will work closely with cross-functional teams to build robust services that handle high volumes of data in real-time. Key responsibilities include developing microservices using Java or Scala, integrating Kafka Streams for efficient data processing, and leveraging Kubernetes for container orchestration. The ideal candidate has expertise in distributed systems, experience with cloud platforms like AWS or GCP, and a strong background in software architecture. This position addresses critical business challenges related to scaling our infrastructure while maintaining low latency and high availability for global users.

Skills

Kafka Confluent Cloud Java Python REST APIs Docker Kubernetes CI/CD AWS PostgreSQL Git Jenkins Ansible Prometheus Grafana

What you'll do

Design and implement highly scalable systems for Confluent Cloud Traffic.
Optimize performance and reliability of cloud traffic management solutions.
Develop automated testing frameworks to ensure system stability.
Troubleshoot complex issues affecting cloud traffic infrastructure.
Integrate new technologies to enhance existing traffic management capabilities.

What we're looking for

5+ years of software engineering experience in cloud-based systems.
Proven track record developing and maintaining high-performance traffic management solutions.
Expertise in Java or Scala for backend development.
Strong understanding of microservices architecture and API design principles.
Experience with Kubernetes, Docker, and container orchestration tools.
Excellent problem-solving skills and ability to work in a fast-paced environment.

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