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Redpanda Data Tech Stack

Agentic data plane for real-time AI and streaming applications

Software Development San Francisco, CA 51–200 employees Founded 2019 Privately Held

Redpanda builds a multi-modal data streaming engine positioned as infrastructure for AI agents operating on live enterprise data. The tech stack reveals a systems-focused organization: core C++/Rust with Raft consensus, Kubernetes orchestration, and observability via OpenTelemetry/Prometheus/Grafana. Active projects around a distributed consensus engine and Kubernetes operators confirm deep work on reliability and operability. Hiring is engineering-dominant (26 senior/staff roles) with a small sales team (6), typical of infrastructure plays in early market expansion.

Tech Stack 43 technologies

Core StackC++ Rust Kafka Kubernetes OpenTelemetry Prometheus Grafana Gong ZoomInfo GitHub Go Helm Jira Slack Figma React TypeScript Jest Apache Spark Hadoop Raft OAuth Kerberos SASL LDAP TLS Sales Navigator C Vitest React Testing Library+12 more

What Redpanda Data Is Building

Challenges

  • Enterprise security
  • Scaling data streaming platform
  • Removing blockers to adoption
  • Time to production
  • Security and access control
  • Lead qualification process
  • Creating reusable assets for customer success
  • Reliable service
  • Scaling analytical workloads
  • Scalability challenges

Active Projects

  • New design system
  • Distributed consensus engine
  • Agentic data plane
  • Improve scalability of data streaming platform
  • Build replication technologies
  • Ui automation
  • Build processes and playbooks for reusable assets
  • Time to production acceleration program
  • Kubernetes operator and helm chart development
  • Gtm enablement program development

Hiring Activity

Accelerating40 roles · 20 in 30d

Department

Engineering
26
Sales
6
Design
3
Customer-Success
1
Operations
1
Product
1
Support
1

Seniority

Senior
26
Director
5
Lead
3
Manager
2
Staff
2
Mid
1

Notable leadership hires: Channel Head

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About Redpanda Data

Redpanda is a data streaming platform company founded in 2019, headquartered in San Francisco with engineering teams distributed to Poland. The product is marketed as an Agentic Data Plane—infrastructure connecting AI agents to enterprise data in real-time. The platform processes hundreds of terabytes daily for companies across financial services, semiconductors, telecommunications, and gaming. Beyond the core streaming engine, the company is actively building design systems, replication technologies, Kubernetes operators, and go-to-market automation. Pain-point patterns surface around enterprise security, adoption blockers, time-to-production, and scaling—typical for infrastructure vendors crossing from early adopters into mid-market.

HeadquartersSan Francisco, CA
Company Size51–200 employees
Founded2019
Hiring MarketsUnited States, Poland

Frequently Asked Questions

What tech stack does Redpanda use?

Redpanda's core is C++ and Rust with Raft consensus, deployed on Kubernetes. For observability: OpenTelemetry, Prometheus, and Grafana. Frontend: React and TypeScript. Internal tools: GitHub, Jira, Slack, Figma. Security: OAuth, Kerberos, SASL, LDAP, TLS.

What is Redpanda working on?

Active projects include a distributed consensus engine, Kubernetes operator and Helm chart development, replication technologies, platform scalability improvements, design system build-out, and go-to-market enablement programs.

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