
51 - 200 employees
Founded 2019
🏢 Enterprise
☁️ SaaS
🤝 B2B
💰 $100M Series D - Redpanda Data on 2025-04
Enterprise • SaaS • B2B
Redpanda Data is the company behind Redpanda, a high-performance streaming data platform compatible with the Apache Kafka API. Redpanda provides a single-binary, low-latency, high-throughput message streaming engine and managed cloud offerings designed as a drop-in replacement for Kafka to simplify real-time data pipelines, event-driven applications, logs, and metrics. The company focuses on delivering enterprise-grade streaming infrastructure for developer and operations teams via self-managed software and managed SaaS/cloud services.
🔥 1 minute ago
Where this job comes from
Posted on Redpanda Data's careers page, not through a job board
First seen by Remote Rocketship 1 minute ago

51 - 200 employees
Founded 2019
🏢 Enterprise
☁️ SaaS
🤝 B2B
💰 $100M Series D - Redpanda Data on 2025-04
Enterprise • SaaS • B2B
Redpanda Data is the company behind Redpanda, a high-performance streaming data platform compatible with the Apache Kafka API. Redpanda provides a single-binary, low-latency, high-throughput message streaming engine and managed cloud offerings designed as a drop-in replacement for Kafka to simplify real-time data pipelines, event-driven applications, logs, and metrics. The company focuses on delivering enterprise-grade streaming infrastructure for developer and operations teams via self-managed software and managed SaaS/cloud services.
• Provide world-class technical support for Redpanda's products and services • Serve as the primary customer-facing representative for configuration, hardware, documentation, product, and feature-request issues • Work with engineering to drive customer challenges from creation through resolution • Partner with product engineering groups on periodic root cause analysis of customer issues • Distill lessons learned for the rest of the organization • Build tools and services to improve support infrastructure, issue lifecycles, and root-cause trend analysis • Participate in on-call rotations to provide follow-the-sun customer support • Ensure customer satisfaction through strong relationships with the Customer Success team
• 5+ years of experience in L3 support of enterprise products, with a significant focus on distributed systems • Experience using AI tooling to automate repetitive tasks or enhance troubleshooting • Strong understanding of Linux troubleshooting commands and regular expressions (grep/awk/sed) • Experience deploying and troubleshooting applications in Kubernetes • Strong experience with public cloud providers and containerization • Proficiency in Bash scripting and/or Python • Willingness to participate in an on-call rotation • Excellent written communication skills • Comfortable working with a 100% distributed engineering team and remote-first company • Proficiency with Go is nice to have • Experience supporting a SaaS platform is nice to have • Experience supporting a streaming platform is nice to have • Ability to work 11:00 AM–8:00 PM Pacific Time, Monday–Friday
• Latest AI tools and budget to use them • Fast-moving, diverse, people-first organization • Remote-first company • 100% distributed engineering team • Team members around the globe • Culture based on trust, transparency, communication, and kindness
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