Senior Software Engineer, AI Platform

Redpanda is the first runtime and control plane for agent-data interaction — a unified platform combining streaming, SQL analytics, and intelligent connectivity with governance necessary for enterprise AI agents in production. It is built on infrastructure trusted by Fortune 500 companies and fast-growing startups, enforcing governance outside the agent's data path to control visibility, actions, and to capture tamper-proof records.

• Significant experience designing and operating large-scale, reliable systems in public cloud environments
• Proven track record of leading large technical projects end-to-end from design through production operations
• Strong proficiency in Go or comparable systems programming language with willingness to ramp up
• 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 cloud platform: AWS, Azure, or GCP, including infrastructure as code (IaC) for system and network infrastructure
• Familiarity with stream processing concepts
• Excellent written and verbal communication skills, comfortable working asynchronously in a globally distributed environment (e.g., GitHub)
• Ability to collaborate effectively across engineering, product, and customer-facing teams

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

• Design, build, and operate the Agentic Data Plane 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
• Contribute to architecture discussions spanning the Agentic Data Plane and adjacent Cloud teams
• Anticipate technical risks and proactively mitigate them to ensure timely, high-quality delivery
• Maintain high standards for reliability, scalability, performance, and security in code and services
• Participate in the on-call escalation chain to reduce escalations and improve operational health
• Build tools and services for automated infrastructure provisioning, deployment, and self-healing
• Integrate resilience and observability into owned systems for enterprise-grade cloud services