Staff Software Engineer, AI Platform (Poland)

Redpanda is a unified platform combining streaming, SQL analytics, and intelligent connectivity with governance for enterprise AI agents. It is built on infrastructure trusted by Fortune 500 companies and startups to enforce external governance on the agent's data path, controlling visibility, actions, and capturing tamper-proof records.

• Significant experience designing and operating large-scale, reliable systems in public cloud environments
• Proven track record leading large technical projects end-to-end from design to 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, or GCP, including Infrastructure as Code (IaC) for system and network infrastructure
• Familiarity with stream processing concepts
• Excellent written and verbal communication skills; comfortable with globally distributed, async environments (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

• 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
• Contribute to architecture discussions spanning ADP and adjacent Cloud teams
• Anticipate and mitigate technical risks 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 enhancing engineering culture and operational excellence
• Participate in on-call escalation; reduce escalations and improve operational health
• Build tools and services for automated infrastructure provisioning, deployment, and self-healing
• Integrate resilience and observability into systems to run enterprise-grade agentic cloud services