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Redpanda Data

Cost-efficient Kafka-compatible streaming platform

Solutions Engineer

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • Have 3-8+ years of experience leading presentations, collecting requirements, developing solution architectures, and teaching prospective users or project teams how to use similar software.
  • Be comfortable developing and prototyping solutions in languages such as Java, Python, Go, and JavaScript.
  • Have a strong understanding of modern infrastructure and streaming technologies; Kafka ecosystem experience is preferred.
  • Be able to demonstrate technical concepts through presentations and whiteboarding.
  • Be comfortable with Linux and Kubernetes.
  • Be proficient with one or more of AWS, GCP, and Azure.
  • Be willing to travel to meet customers and attend events or conferences.

Responsibilities

  • Work alongside the sales team to introduce Redpanda to potential customers.
  • Lead product and solution briefings, build proof-of-concepts, run live product demonstrations, and prototype Redpanda integrations.
  • Partner with product management, engineering, and support teams to solve customer challenges and improve customer experience.
  • Identify customers' key technical objections and develop strategies to address adoption blockers.

Desired Qualifications

  • Experience with the Kafka ecosystem.

About the Company

Redpanda Data

Cost-efficient Kafka-compatible streaming platform

Redpanda offers a streaming data platform compatible with Kafka APIs, available as a fully managed cloud service or a self-hosted deployment. It ingests and stores real-time data and exposes it to applications through Kafka-compatible interfaces, aiming for high throughput and very low latency while reducing resource use. The platform differentiates itself by cutting infrastructure costs, simplifying deployment, and supporting both cloud and on-premises use, with Jepsen verification for safety and a focus on energy efficiency. Its goal is to provide a practical, easy-to-deploy, cost-effective way for organizations to process real-time data with minimal operational overhead.

Company size
201-500
Company stage
Series D
Total funding
$265.5M
Headquarters
San Francisco, CA
Founded
2019

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