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We’re not just building better tech. We’re rewriting how data moves and what the world can do with it. With Confluent, data doesn’t sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform.
Job Responsibility
Develop and architect the cloud-native Stream Governance platform - a multi-tenant, highly available, and scalable service for Kafka and real-time data
Own and lead the end-to-end design and implementation of complex backend services within a cloud-native, microservices-based environment
Drive projects from requirements and design through implementation, rollout, and ongoing operation in production
Make architecture and technical decisions that thoughtfully balance reliability, scalability, performance, and operability
Solve complicated technical projects with high quality, provide specialized technical guidance to the team, and mentor/support other engineers through code reviews and design reviews
Evaluate and enhance the efficiency of our platform's technology stack, ensuring we keep pace with industry trends and adopt state-of-the-art solutions
Take responsibility for developing, managing, and maintaining a mission-critical service with a 99.99 SLA running across 100+ AWS, GCP, and Azure regions
Partner across engineering and with other key stakeholders to create and execute the overall roadmap for delivering a top-notch Data Streaming Platform
Contribute to a culture of continuous improvement, inclusive collaboration, and high technical standards
Requirements
7+ years of industry experience designing, building, scaling, and operating backend systems in production
Deep proficiency in at least one major backend programming language (e.g., Java, Go, C/C++, or Python) and strong fundamentals in data structures, algorithms, and system design
Hands-on experience with distributed systems, such as event-driven architectures, high-throughput services, or large-scale data pipelines
Strong experience running production services in a public cloud (AWS, GCP, or Azure), including containerized workloads (e.g., Docker, Kubernetes)
Expertise in cloud-native technology, including networking & security, and experience being part of an on-call rotation
Proven experience in leading and mentoring technical teams
A track record of technical leadership: driving projects, influencing architecture, and coordinating work across multiple engineers or teams
Strong communication and collaboration skills, with the ability to align stakeholders, explain complex ideas clearly, and drive decisions
BS, MS, or PhD in computer science, engineering, or a related field, or equivalent practical experience
Nice to have
Experience building or operating mission-critical, multi-tenant, or multi-region services with strict availability and latency requirements
Familiarity with data streaming technologies such as Apache Kafka, Flink, or similar systems
Demonstrated impact beyond your immediate team, such as driving cross-org initiatives or technical vision
Contributions to open source, technical writing, or speaking that showcase technical depth