Jobs at Confluent

Lead multi-year product strategy and execution for Apache Flink across Confluent Cloud and Platform. Align product, engineering, GTM, and executives; identify 0-to-1 opportunities across streaming, AI, and data engineering; define integrations across Confluent and IBM portfolios; and drive product lifecycle from early market fit to scale.

The Senior Software Engineer II will work on building highly available, secure, and scalable compute layers for Kora, a managed data streaming service, while addressing complex distributed systems challenges.

This role involves driving the vision and strategy for Confluent's API platform, focusing on developer experience, and managing cross-team initiatives. Responsibilities include understanding user needs, simplifying API interactions, and ensuring product adoption.

Lead product strategy and execution for Cluster Linking to deliver one-click disaster recovery, streamlined migrations, and secure cross-organization stream sharing. Drive adoption, packaging, pricing, customer engagement, and cross-functional alignment to grow the product.

As a Senior Software Engineer, you'll design and implement strategies for scalable storage solutions, develop a highly available infrastructure, and collaborate with cross-functional teams to integrate storage features.

Lead the product-led growth marketing strategy, optimize acquisition, manage a high-performing team, and integrate AI into growth workflows.

The role involves designing and developing a high-performing, reliable storage engine for Confluent Cloud, driving software projects, troubleshooting complex systems, and collaborating effectively with team members.

Design and build backend services that run AI/model inference on real-time streaming data. Own end-to-end features, make cross-team architectural decisions, ensure reliability and operability, participate in on-call, and mentor engineers while driving production-grade rollout and testing.

Design, build, scale, and operate a Kafka-compatible, object-storage-backed streaming platform. Own backend services, storage engine, multi-tenant control plane, transactions and multi-region features. Troubleshoot complex distributed systems, ensure operational readiness and SLAs, participate in on-call rotation, and contribute across the full stack including developer console UI.

Design and implement scalable storage engine features (schematization, materialization, compaction) and build multi-tenant, highly available compute infrastructure for background storage tasks. Ensure platform reliability, scalability, and integration with product and engineering teams across Confluent Cloud.

Lead the Cloud Networking Product team to enhance the connectivity of Confluent Cloud. Responsibilities include product lifecycle management, user analysis, and collaboration across teams to ensure successful product initiatives.

The Staff Software Engineer I - SRE role involves proactive reliability engineering, incident management, and cross-team leadership to enhance data stream reliability for Confluent Cloud.

Build and operate large-scale, high-performance infrastructure to run AI inference and agents on real-time streaming data. Design scalable, reliable serving layers, solve distributed-systems challenges, and optimize across cloud providers.

The Staff Product Manager for Cloud Networking will own the platform strategy for data connectivity and drive architectural decisions for Confluent Cloud across multiple cloud services and networking models, while aligning stakeholders and mentoring team members.

The Senior Product Manager will oversee cloud networking initiatives, ensuring user-friendly connectivity in Confluent Cloud, and manage product lifecycle from conception to launch, focusing on usability and cost efficiency.

As a Staff Product Manager at Confluent, you'll lead major product initiatives, ensure effective communication across teams, and enhance the product strategy for Kafka Connect, aiming for successful enterprise-grade integrations.

The Senior Software Engineer II will design and develop cloud-native backend systems for Stream Governance, mentor engineers, and solve complex data challenges in a team-focused environment.

The Principal Engineer will lead AI-driven productivity initiatives, develop a strategy for integrating AI in engineering workflows, and improve collaboration across teams. Responsibilities include executing projects, ensuring code quality, and setting success metrics.