Senior Streaming AI Platform Engineer

Confluent; United States; Remote; USD 140,000 - 180,000; Full time

Job summary

Confluent is seeking a backend software engineer on the AI-related team to own infrastructure enabling in-place, at-scale AI on streaming data. You’ll architect systems for running complex inference and AI agents directly on real-time data, reducing moves to external stacks and driving growth.

You’ll tackle challenges in large-scale distributed systems across networking, compute, and security, ensuring reliability and efficiency across AWS, Azure, and GCP.

Qualifications

• 2–5 years of industry experience designing, building, and supporting backend systems in production.
• Strong fundamentals in distributed systems, cloud infrastructure, and networking.
• Experience in building and operating large-scale, high-availability systems.
• Good understanding of cloud platforms (AWS, Azure, or GCP) and their services.
• Proficiency in Java, Scala, C++, Go, or other statically typed languages.
• A self-starter with strong problem-solving skills in a fast-paced environment.
• BS, MS, or PhD in computer science or a related field, or equivalent work experience.

Responsibilities

• Design, develop, and operate large-scale, high-performance backend infrastructure.
• Build foundational software to improve reliability, scalability, and efficiency across cloud environments.
• Address distributed systems challenges including consensus, failover, and resource allocation.
• Collaborate with Confluent teams to optimize infrastructure for real-time data streaming use cases.
• Troubleshoot and improve system reliability, observability, and performance across cloud providers.

Skills

Distributed systems

Cloud infrastructure

Networking

Backend systems

Java/Scala/C++/Go

Problem solving

Education

BS/MS/PhD in CS or related field

Tools

AWS

GCP

Azure

Job description

Confluent is seeking a backend software engineer on the AI-related team to own infrastructure enabling in-place, at-scale AI on streaming data. You’ll architect systems for running complex inference and AI agents directly on real-time data, reducing moves to external stacks and driving growth.

You’ll tackle challenges in large-scale distributed systems across networking, compute, and security, ensuring reliability and efficiency across AWS, Azure, and GCP.