Staff Software Engineer, Agentic Data Plane

🕒 May 7

🏢🏡 San Francisco – Hybrid

💵 $220k - $260k / 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

• Design, build and operate ADP and cloud services across AWS, GCP, and Azure, including control plane and data plane components • Convert ambiguous product requirements into clear technical designs and executable workstreams • Lead the technical direction of large projects within ADP, and contribute to architecture discussions that span ADP and adjacent Cloud teams • Anticipate technical risks and proactively mitigate them to ensure timely, high quality delivery • Set and uphold high standards for reliability, scalability, performance, and security • Identify and champion new features, process improvements, and strategic initiatives that enhance engineering culture and operational excellence • Participate in the on-call escalation chain; helping reduce escalations and improve operational health • Build tools and services for automated infrastructure provisioning, deployment, and self-healing • Make resilience and observability integral to the systems you own, enabling us to run enterprise-grade agentic systems and service in the cloud

🎯 Requirements

• Significant experience designing and operating large-scale, reliable systems in public cloud environments • A track record of leading large technical projects end-to-end, from design and planning, to execution and production operations • Strong proficiency in Go (or comparable systems language with willingness to ramp) • Experience with AI-assisted software development workflows including tools like Claude Code • Production experience with Kubernetes, including running and operating workloads • Working knowledge of at least one of AWS / Azure / GCP, including IaC for system and network infrastructure • Familiarity with stream processing concepts • Excellent written and verbal communication skills; comfortable working in a globally distributed, async environment (e.g., GitHub) • Ability to collaborate effectively with engineering, product, and customer-facing stakeholders • Nice to Have: • Experience building Kubernetes operators for stateful / storage workloads • Experience building or operating SaaS platforms • Experience with streaming platforms as a user or provider • Exposure to production agentic systems and building agentic workflows