Confluent

Senior Software Engineer role focused on building and operating components for Confluent's Connect Platform, which bridges Apache Kafka with the wider ecosystem for data integration and streaming. The role involves working on self-managed and cloud connectors, single message transforms, security, and scaling data flows for event-driven architectures.

Senior Software Engineer II at Confluent responsible for leading the design and delivery of large-scale, distributed backend services for their data streaming platform. Focus areas include core platform services, governance, observability, security, and customer-facing applications. Requires technical leadership, architecture decisions, and mentoring engineers.

This role is for an Engineering Manager at Confluent, leading teams that build UI applications for Kafka, Tableflow, and Governance. The focus is on creating user experiences for data engineers and platform operators to manage streaming data, including features like stream governance, schema management, and catalog search. The role involves technical leadership in architecture and backend contracts, as well as people management, hiring, coaching, and scaling the team. While the company works with data streaming platforms and governance, the core of this specific role is in building user-facing applications and managing engineering teams, not directly in AI/ML model development or research.

Backend engineers at Confluent build the cloud services and systems that power their data streaming platform. This role focuses on large-scale, distributed backend systems that need to be highly available, reliable, and easy to operate. Responsibilities include designing, building, and operating secure, reliable, and scalable backend services, owning features end-to-end, working with distributed systems and microservices, contributing to service reliability and operations, and collaborating with partner teams. Requires 3+ years of experience in backend systems, distributed systems, cloud deployment, and databases, with a focus on quality and reliability.

Staff Software Engineer at Confluent on the Business Technology team, focusing on building internal web applications for revenue, forecasting, and operational efficiency. The role involves leading architecture, design, and implementation of complex systems, partnering with stakeholders, and mentoring engineers. The team aims to enable AI capabilities for end-users, indicating an 'Exploring' AI maturity signal within an enterprise context.

Staff Product Manager for Confluent Cloud Kafka, focusing on the Kafka Operator experience for enterprise customers. Requires strong technical background in cloud systems and Apache Kafka ecosystem, with experience in developer/operator-focused products.

Product Manager for Confluent's Cluster Linking product, focusing on disaster recovery, migrations, and cross-organization data sharing. The role involves defining product strategy, driving adoption, packaging, pricing, and working closely with engineering and customers to grow the platform product.

Senior Software Engineer role focused on product security, specifically designing and implementing identity and access management, authentication, and authorization methods for Confluent Cloud. This role involves collaborating with cross-functional teams to build secure solutions and improve the security platform.

Staff Site Reliability Engineer focused on incident management and reliability for Confluent's cloud platform. The role involves analyzing failure patterns, building automation, improving tooling, defining SLOs, and evolving incident response practices. It requires deep expertise in distributed systems, cloud environments (AWS, GCP, Azure), and incident management tooling.

Staff Software Engineer to lead initiatives for Confluent's Stream Governance product, focusing on building and scaling cloud-native, multi-tenant services for Kafka and real-time data. Responsibilities include architecting complex systems, driving roadmap execution, enhancing platform technology, and ensuring high availability (99.99 SLA) across multiple cloud regions.