The ad says“Good understanding of cloud platforms (AWS, Azure, or GCP) and their services”
The ad says“Good understanding of cloud platforms (AWS, Azure, or GCP) and their services”
The ad says“Proficiency in Java, Scala, C++, Go, or other statically typed languages”
The ad says“Strong fundamentals in distributed systems, cloud infrastructure, and networking”
The ad says“Good understanding of cloud platforms (AWS, Azure, or GCP) and their services”
The ad says“Strong fundamentals in distributed systems, cloud infrastructure, and networking”
The ad says“Good understanding of cloud platforms (AWS, Azure, or GCP) and their services”
The ad says“Proficiency in Java, Scala, C++, Go, or other statically typed languages”
The ad says“Proficiency in Java, Scala, C++, Go, or other statically typed languages”
The ad says“Strong fundamentals in distributed systems, cloud infrastructure, and networking”
The ad says“Proficiency in Java, Scala, C++, Go, or other statically typed languages”
Values
The ad says“Exposure to model serving, LLM/agent infrastructure, or streaming data systems”
The ad says“Exposure to model serving, LLM/agent infrastructure, or streaming data systems”
The ad says“Exposure to model serving, LLM/agent infrastructure, or streaming data systems”
As a Software Engineer on the AI team, you will take ownership of the infrastructure that enables our “in-place, at-scale” AI value proposition
You aren’t just building a feature; you are architecting the systems that allow customers to run complex inference and AI agents directly on streaming data, eliminating the need to move data to external stacks
This is a high-impact role where your work on scalable, cost-efficient serving layers directly drives Confluent’s growth and redefines the possibilities of real-time data
We are looking for engineers who thrive on the technical complexity of large-scale distributed systems
You will tackle deep infrastructure challenges across networking, compute, and security to ensure our AI capabilities are as reliable as the core data plane itself
If you are passionate about building the foundational systems that power the next generation of AI in the cloud, this is the place to do it
Design, develop, and operate large-scale, high-performance infrastructure that powers Confluent Cloud
Build foundational software to improve reliability, scalability, and efficiency across cloud environments
Work on distributed systems challenges such as consensus algorithms, failover strategies, and resource allocation
Collaborate with teams across Confluent to optimize and enhance infrastructure for real-time data streaming use cases
Troubleshoot and improve system reliability, observability, and performance across multiple cloud providers (AWS, Azure, GCP)
Preferred experience
Good understanding of cloud platforms (AWS, Azure, or GCP) and their services
Strong fundamentals in distributed systems, cloud infrastructure, and networking
A self-starter with strong problem-solving skills and the ability to work in a fast-paced environment
Proficiency in Java, Scala, C++, Go, or other statically typed languages
2-5 years of industry experience designing, building, and supporting backend systems in production
BS, MS, or PhD in computer science or a related field, or equivalent work experience
Experience in building and operating large-scale, high-availability systems
Exposure to model serving, LLM/agent infrastructure, or streaming data systems
Note - You don’t need a background in ML research or model training — this role is about building and operating the platform that serves AI reliably at scale, not inventing the models
