Job Overview
Location
*Job Posting Only: USA1
Job Type
Full-time
Category
Software Engineering
Date Posted
June 4, 2026
Full Job Description
đź“‹ Description
- • Design and implement innovative strategies for table schematization, materialization, and compaction at massive scale within the Tableflow project.
- • Build and maintain multi-tenant, highly available infrastructure that powers background computational tasks for Kora’s long-term storage, ensuring scalability, reliability, and resilience.
- • Advance key layers of the Tableflow project, including its compute infrastructure and core components responsible for table materialization and background maintenance.
- • Develop strategies to enable streaming data to be consumed seamlessly both as a table and as a stream across Confluent Cloud.
- • Ensure high availability and scalability for background storage tasks operating at massive scale across Confluent’s global infrastructure.
- • Collaborate with product management, design, and other engineering teams to integrate storage features and infrastructure seamlessly into the broader organization.
- • Contribute to the evolution of a next-generation multi-modal storage engine that unifies streaming and table-based data consumption.
- • Work on distributed storage systems and infrastructure problems with a focus on real-time data movement and transformation.
- • Engage in technical problem-solving for large-scale data systems, balancing performance, consistency, and operational efficiency.
- • Participate in code reviews, architecture discussions, and technical decision-making with a team of engineers focused on open-source data technologies.
- • Apply deep expertise in distributed systems to solve challenges related to storage, compute, and data consistency in a cloud-native environment.
- • Support the integration of Tableflow with existing Confluent Cloud services and ensure alignment with organizational objectives for data streaming platforms.
- • Maintain a strong focus on building systems that are fault-tolerant, observable, and operable at global scale.
- • Contribute to the technical direction of the Tableflow initiative by evaluating and adopting best practices from open-source ecosystems.
🎯 Requirements
- • BS, MS, or PhD in computer science or a related field, or equivalent work experience
- • Excellent communication and collaboration skills, with the ability to influence and guide stakeholders at all levels
- • Familiarity with or experience contributing to Apache Kafka, Apache Iceberg, or Apache Flink
- • Experience or knowledge with public clouds (AWS, Azure, or GCP)
🏖️ Benefits
- • Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected classification
- • Belonging is treated as the baseline, with support for diverse perspectives and inclusive collaboration across time zones and backgrounds
- • Opportunity to work on cutting-edge data streaming technology at scale within Confluent Cloud
- • Integration into IBM’s organization with associated resources and global reach
Skills & Technologies
About Confluent Inc.
Confluent Inc. delivers a cloud-native data streaming platform built around Apache Kafka. It provides real-time data pipelines, stream processing, and event-driven architecture tools for enterprises. The company offers managed services, connectors, and analytics to unify data across on-premises and cloud environments. Industries use Confluent to power fraud detection, IoT, logistics, and customer experiences. Founded by Kafka creators, it operates globally with offices in the U.S., Europe, and Asia.
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