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About the Role

We are seeking an experienced Staff Software Engineer to architect and build systems for Redpanda's Agentic Data Plane (ADP), while also influencing technical culture. You will design and develop the ADP product, focusing on Bring Your Own Cloud, Serverless, and Redpanda Connect offerings. Your responsibilities include leading system architecture, developing new features, and operating ADP and Redpanda Cloud to meet a 99.99% SLA. You will elevate engineering standards within the Cloud team and collaborate with various engineering and sales teams to create scalable, stable systems with a focus on zero-downtime upgrades.

Responsibilities

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 spanning 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 owned, enabling 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.
Experience building Kubernetes operators for stateful / storage workloads.
Experience building or operating SaaS platforms.
Exposure to production agentic systems and building agentic workflows.

Skills

Go
AI-assisted software development
Claude Code
Kubernetes
AWS
Azure
GCP
Infrastructure as Code (IaC)
Stream processing
Communication
Collaboration
Kubernetes operators
SaaS platforms
Agentic systems
Agentic workflows

Location

San Francisco

Work Type

Hybrid

Experience Level

Staff
Experienced

Salary/Compensations

$220,000 - $260,000