Latest Backend Engineering jobs at Confluent

Senior engineer building WarpStream, a Kafka-compatible data streaming platform on object storage. Design, develop, and operate scalable backend services and distributed systems across AWS, GCP, and Azure; own projects end-to-end including storage engine, control plane, transactions, and multi-region clusters.

Builds and operates distributed backend infrastructure that enables reliable, scalable AI inference and agents on real-time streaming data. The role requires production experience with large-scale systems, cloud platforms, networking, and statically typed languages.

Staff-level engineer building multi-tenant, highly available storage infrastructure for Tableflow, focusing on table materialization, compaction, and background maintenance at massive scale.

As a Senior Software Engineer, you will advance the Tableflow project by developing and maintaining multi-tenant, highly available compute infrastructure and core components for table materialization and background maintenance at scale. You will collaborate with cross-functional teams to integrate storage features and infrastructure.

Build and operate Kora’s highly available, scalable, multi-tenant storage engine for Confluent Cloud. The role requires cloud infrastructure experience, distributed-systems expertise, and proficiency in a statically typed language.

Senior software engineer developing Kora’s highly available, secure, scalable, and multi-tenant cloud compute layer. The role requires 4+ years of cloud infrastructure or networking experience, distributed-systems expertise, and proficiency in a statically typed language.

Leads design and delivery of cloud-native backend services for Stream Governance in Confluent's data streaming platform, ensuring scalability, security, and high availability across clouds. Requires 5+ years backend experience, distributed systems expertise, cloud proficiency, and technical leadership skills.

Shapes the architecture and technical strategy for Confluent’s distributed schema, metadata, and governance systems across its streaming platform. The role requires deep distributed-systems expertise, streaming architecture fluency, and the ability to influence company-wide technical direction.