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Lead architecture and delivery of Confluent Platform features (notably Unified Stream Manager) for hybrid/on‑prem/cloud deployments. Drive design, code, reviews, and reliability for large-scale distributed systems, mentor senior engineers, collaborate cross-org, handle high-severity production incidents, and shape long-term platform roadmap.

Build scalable and performant backend services for a monetization platform, enhancing product features and supporting usage-based billing in a cloud environment.

As a Senior Software Engineer, you will design and build high-performance backend services, ensuring operational readiness and improving processes for a data streaming platform.

Design, build, and operate highly scalable, reliable cloud backend services for usage-based billing and pricing. Collaborate with product and cross-functional teams, troubleshoot production issues, improve operational reliability, and deliver distributed, streaming SaaS solutions.

The Senior Manager, Engineering will lead the Kafka team, oversee cloud-based distributed systems, mentor engineers, drive technical initiatives, and collaborate across teams to enhance performance and scalability.

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.

Lead the development of Confluent's observability features, architect solutions, mentor engineers, ensure quality, and work on large-scale systems in cloud environments.

Lead proactive reliability engineering for a multi-cloud streaming platform: build automation and tooling, define SLO/SLA frameworks, analyze systemic failures, own incident response standards, serve as incident commander, coach teams through post-mortems, produce customer-facing root cause analyses, and partner across engineering to reduce incidents and scale reliability practices.

Lead and grow an engineering organization responsible for a large-scale, real-time metrics platform. Drive technical strategy to scale metrics infrastructure, evolve APIs and datasets, ensure 99.99%+ availability and sub-second queries, mentor engineers, manage hiring/performance, and collaborate across telemetry, cloud infrastructure, and product teams to deliver observability solutions.

Enable customers and prospects to use Confluent Cloud by producing code samples, guides, articles, webinars, and one-on-one technical support. Build and maintain examples integrating Kafka and Flink with AI/ML tools, collaborate with product and engineering teams, troubleshoot performance, and engage in community forums to educate and onboard users.