Design and build backend services to enable AI and model inference capabilities directly on real-time streaming data. Lead the end-to-end delivery of features, managing the model lifecycle, inference routing, and agent execution across distributed systems.
Drive the end-to-end execution of complex technical projects to build high-performance, scalable backend services for the WarpStream platform. Responsibilities include architecting storage engines, improving control plane scalability, and maintaining operational readiness through on-call support.
Design and operate large-scale, high-performance infrastructure to enable AI agents and inference directly on streaming data. Collaborate across teams to optimize reliability, scalability, and efficiency across AWS, Azure, and GCP.
Design and implement innovative strategies for table schematization, materialization, and compaction at massive scale. Build and maintain multi-tenant, highly available infrastructure to power background computational tasks for Kora's long-term storage.
Define and drive the multi-year product strategy and roadmap for Apache Flink across Confluent Cloud and on-prem platforms. Identify new product opportunities in AI and data engineering while aligning stakeholders across engineering and GTM teams.
Build and operationalize a highly available, scalable, and multi-tenant storage engine for the Kora managed service. Drive technical solutions end-to-end, focusing on quality, reliability, and troubleshooting complex technical stacks across three clouds.
Design and implement innovative strategies for table schematization, materialization, and compaction at massive scale. Build and maintain multi-tenant, highly available infrastructure to power background computational tasks for Kora's storage.
Own the platform strategy and multi-year roadmap for Confluent Cloud Networking across AWS, Azure, and GCP. Partner with engineering leadership to define technical architecture and drive alignment across executive stakeholders.
Define and drive the strategy for internal agentic AI capabilities and automated decisioning systems to enhance R&D productivity. Lead the delivery of core agentic workflows while partnering across Engineering, Security, and IT to scale AI adoption.
Design, architect, and develop the compute layer of the Kora cloud-native event streaming platform. Focus on building highly available, secure, and scalable multi-tenant infrastructure to solve complex distributed systems problems.
Own the vision, strategy, and roadmap for Confluent's core streaming analytics engine, focusing on storage, materialization, and query performance. Partner with engineering and leadership to define a new product category that integrates streaming analytics and real-time OLAP into a cloud-native architecture.
You will lead the product roadmap for cloud networking, focusing on reliability, scalability, and cost efficiency for Confluent Cloud services. This involves managing the full product lifecycle from conception to launch while collaborating with cross-functional teams to deliver high-quality user experiences.
The Senior Software Engineer II will take ownership of critical backend systems within Stream Governance products, leading the design and delivery of large-scale, distributed, multi-tenant services that must be secure and highly available across regions and clouds. Responsibilities include developing the cloud-native platform, owning end-to-end design and implementation of complex backend services, making key architecture decisions, and mentoring other engineers.
As an Associate Technical Support Engineer, you will help customers resolve issues related to Confluent deployments and build strong relationships to ensure exemplary support. You will also communicate with engineering teams to provide product feedback and contribute to documentation and knowledge base articles.
