Senior Product Engineer, Agentic Identity & Governance, AI Platform

About the Role:

Identity is one of the two gates every enterprise puts in front of agentic AI before it touches production data — alongside observability, it is what turns a compelling demo into something a security team will actually approve. We already ship a per-data-plane OAuth 2.1 authorization server and token vault, delegated tool access, and support for external agent clients (Claude, ChatGPT, Cursor, Copilot Studio) connecting in through governed paths.

What comes next — how an agent acts on behalf of a human or another agent, how that delegation is proven and audited rather than assumed, and how Redpanda's identity model federates with (rather than replaces) a customer's existing IdP — is still being actively defined, inside Redpanda and across the industry. Standards for agent identity, delegated authorization, and on-behalf-of (OBO) access patterns are moving fast and are genuinely unsettled: this is a domain where the right technical bet made now becomes a durable competitive advantage, and the wrong one becomes years of migration pain.

This is a hybrid role based in our central Warsaw office, with a minimum of 3 days a week on-site.

You Will:

• 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 that span the Agentic Data Plane and adjacent Cloud teams
• Anticipate technical risks and proactively mitigate them to ensure timely, high quality delivery
• Hold a high bar for reliability, scalability, performance, and security in the code and services you ship
• 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

You Have:

• 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