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About the Role

We are seeking a Principal Software Engineer to architect and build Redpanda's Agentic Data Plane (ADP). This role involves identifying and integrating next-generation ADP capabilities, translating emerging research into engineering proposals, and partnering with cross-functional teams and customers to shape the product's direction. The ADP enables intelligent agents to safely interact with real-world enterprise data in real-time, providing visibility and control.

Responsibilities

Track emerging research, frameworks, and industry developments in the agentic AI space, and translate the most relevant signals into concrete engineering proposals and product bets
Identify, prototype, and deliver high-leverage emerging capabilities for ADP, in partnership with the broader team
Define architectural patterns for new ADP capabilities, ensuring they integrate cleanly with the existing runtime, policy, and observability layers
Engage directly with strategic customers and the field to stress-test new capabilities against real enterprise deployment scenarios
Serve as a technical ambassador for ADP externally, publishing research, writing engineering blog posts, and speaking at conferences to establish Redpanda's credibility at the frontier of agentic infrastructure
Participate in on-call and help drive down operational toil, improving system observability and self-healing capabilities over time

Requirements

10+ years of software engineering experience, with a demonstrated track record of leading the design and delivery of complex, large-scale distributed systems
Experience building or contributing to emerging areas of agentic AI infrastructure, e.g. eval frameworks, orchestration layers, context management, AI gateways, or similar
Fluency with AI-assisted development at the level of agentic orchestration, i.e. composing multi-agent coding workflows with subagents to dramatically accelerate research and prototyping
Deep expertise in at least one systems language (Go preferred) and comfort working across the stack
Understanding of streaming data systems, messaging infrastructure, or data plane/control plane architectures, experience with Apache Kafka or Redpanda is a plus
Experience designing and operating systems that enforce access control, policy, and auditability at scale
Self-directed, strong written communicator, comfortable collaborating asynchronously in GitHub, Slack, and Google Docs
Excellent interpersonal and communication skills. Able to lead without authority across engineering teams and engage credibly with technical customers and external audiences

Skills

Agentic AI infrastructure
AI-assisted development
Agentic orchestration
Systems language (Go preferred)
Streaming data systems
Messaging infrastructure
Data plane/control plane architectures
Access control
Policy enforcement
Auditability at scale
Written communication
Asynchronous collaboration
Interpersonal skills
Communication skills
AI safety
Alignment
Responsible AI
Protocol buffers
Protoreflect
Codegen
Security systems
Identity systems
Data governance systems
Kubernetes
Cloud-native infrastructure (AWS, GCP, Azure)

Location

San Francisco

Work Type

Hybrid

Experience Level

Principal

Salary/Compensations

$245,000 - $290,000

About the Company

Redpanda's Agentic Data Plane (ADP) is the control and execution layer that powers how AI agents safely interact with real-world data across the technological sprawl of the modern enterprise.
Redpanda’s Agentic Data Plane enables intelligent agents to autonomously access, reason over, and act on enterprise data in real time, while providing their human counterparts with the visibility and control to ensure and validate that they do so securely.
It combines Redpanda’s industry-leading low-latency streaming layer, a distributed query engine for real-time context, 300+ connectors for seamless data integration, and a global policy and observability framework that enforces access, records intent, and enables replayable audits.