Principal Software Engineer – Agentic Data Plane

🕒 May 6

🏢🏡 San Francisco – Hybrid

💵 $245k - $290k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

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Redpanda Data

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

🏢 Enterprise

☁️ SaaS

🔌 API

💰 $50M Series B on 2022-02

Enterprise • SaaS • API

Redpanda Data is a comprehensive Kafka-compatible streaming data platform designed for developers building data-intensive applications. The platform boasts a range of tools and features including Redpanda Connect for stream processing, Redpanda Console for an interactive Kafka UI, and support for AI frameworks. The platform is known for its high performance, optimized costs with tiered storage, and seamless integration with over 260 connectors. It provides flexible deployment options ranging from serverless to enterprise solutions, making it suitable for various environments including cloud and on-premises setups.

📋 Description

• 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.