Staff Software Engineer I - Confluent Infrastructure

IBM

Remote

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Work type
Remote
Location
Remote
Posted
3 days ago

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Similar $192k
$131k most similar roles pay here $256k

This listing doesn't post a salary. Most similar roles pay $165,000–$219,425.

Based on 240 similar postings.

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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 · Staff Software Engineer I - Confluent Infrastructure

As a Staff Software Engineer I on the Confluent Infrastructure team in Poughkeepsie, NY, you will play a pivotal role in developing and maintaining scalable data streaming platforms. Your responsibilities include designing robust systems to handle high-volume data streams, collaborating with cross-functional teams to integrate new features, and ensuring the reliability and performance of our infrastructure. You will work extensively with technologies such as Apache Kafka, Kubernetes, and cloud services like AWS or GCP. Proficiency in Java, Python, and experience with distributed systems are essential. This role involves tackling complex business problems related to data scalability and real-time processing at a large scale, making it ideal for someone passionate about building resilient and efficient infrastructure solutions.

What you'll do

  • Design and implement scalable software solutions for Confluent Infrastructure.
  • Optimize system performance by identifying bottlenecks and implementing improvements.
  • Develop robust APIs to support data exchange between systems.
  • Ensure code quality through rigorous testing and continuous integration practices.
  • Collaborate with cross-functional teams to define project requirements and scope.

What we're looking for

  • 3+ years of software engineering experience in infrastructure development.
  • Proficient in Java and at least one scripting language like Python or Bash.
  • Strong understanding of distributed systems and cloud-native technologies.
  • Experience with Kubernetes and containerization tools such as Docker.
  • Solid background in system design, architecture, and performance optimization.
  • Ability to write clean, maintainable code and contribute to open-source projects.

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