Drive real-time data solutions as an AI Infrastructure Engineer at Confluent. Focus on architecting scalable systems that enable complex data processing directly on streaming data, fundamentally shaping the future of AI in cloud environments.

In this critical role at IBM Software, you will design, develop, and enhance large-scale infrastructure that directly supports Confluent Cloud. Candidates should be skilled in distributed systems and comfortable troubleshooting infrastructure across AWS, Azure, and GCP to ensure reliability and performance. This position involves extensive collaboration with cross-functional teams to optimize real-time data applications.

Key Responsibilities:
• Design and operate large-scale infrastructure for Confluent Cloud
• Improve reliability and efficiency of cloud environments




• Address distributed systems challenges in consensus and resource allocation
• Collaborate to enhance real-time data streaming capabilities
• Troubleshoot system reliability and performance across cloud platforms

Requirements:
• 2-5 years of experience in backend systems
• Robust knowledge of distributed systems and networking
• Experience with high-availability systems in production
• Familiarity with AWS, Azure, or GCP services
• Proficiency in Java, Scala, or C++

Transform real-time data for AI applications by contributing to advanced infrastructure with Confluent.
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📌 AI Infrastructure Engineer at Confluent (Ontario)
🏢 IBM Computing
📍 Ontario