The Senior Manager will define the strategic vision and operational roadmap for the Detection & Response organization across multi-cloud environments. They will lead a global, distributed team while driving security incident response and fostering an engineering-centric culture of automation.
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.
Own the strategic direction and roadmap for Confluent's internal access management program, focusing on machine and workload identity. Establish access governance standards, track program OKRs, and lead cross-functional execution to maintain a coherent security posture.
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.
As a Staff Software Engineer I, you will technically lead the evolution of the Confluent Platform, focusing on hybrid-first management and operational capabilities. You will partner with product management and engineering leadership to define and execute the roadmap while mentoring senior engineers.
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.
The role involves driving the vision and strategy for Confluent's API platform to empower developers and operators through AI-ready interfaces. Key duties include defining roadmaps, governing API/CLI/TF interfaces, and measuring business outcomes through quantitative and qualitative targets.
Lead a team of engineers in building a serverless control plane for Confluent's managed Flink offering, focusing on the REST API, Gateway, and Kubernetes operators. Balance technical strategy and architectural excellence with the mentorship and growth of senior engineers into staff-level leaders.
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.
You will lead a multidisciplinary team to define and optimize the product-led growth strategy across the entire customer funnel. This includes driving experimentation, managing digital acquisition channels, and aligning product signals with sales engagement to maximize revenue.
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.
The Staff Software Engineer will act as a technical leader, driving complex projects across Kafka components like Clients, Streams, and Broker, while collaborating closely with the Apache Kafka community via KIPs and code contributions. Responsibilities include driving performance improvements, ensuring operational excellence, and mentoring the team on strong design principles and software architecture.
Senior Software Engineers II will own and lead the design and implementation of complex backend services and systems within a cloud-native, microservices environment, making critical architecture decisions. They will drive projects end-to-end, improve service reliability through SLOs/SLAs and observability, and mentor other engineers.
The Senior Product Manager will drive the success of major product initiatives for Confluent Cloud Networking, focusing on making connectivity reliable, scalable, secure, cost-efficient, and simple to use. This involves defining the product roadmap, developing flexible interfaces (API, CLI, Terraform), and managing the entire product lifecycle from conception through iteration.
The role involves building mission-critical backend services, playing a crucial part in architecting, designing, developing, and operationalizing high-performance, scalable, and resilient services. Engineers will also design, develop, and maintain Kafka Connect connectors for integrating with various data sources like databases and data warehouses.
The role involves designing, implementing, and maintaining Golang infrastructure services, typically as Kubernetes operators, to deliver Confluent cloud foundations to the engineering organization. Responsibilities also include ensuring the availability, performance, monitoring, emergency response, and capacity planning of the Confluent cloud.
The role involves driving the success of a major product initiative for Kafka Connect, from conception through growth strategy, by serving as the trusted resource for engineering, design, sales, and marketing teams. Responsibilities include enabling seamless, enterprise-grade integration between Kafka and external systems, supporting on-premise and cloud deployments, and introducing AI/ML capabilities.
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.
