Staff Security Engineer

Redpanda is the first runtime and control plane for agent‑data interaction — a unified platform that combines streaming, SQL analytics, and intelligent connectivity with the governance layer enterprise AI agents need in production.

Built on infrastructure already trusted by Fortune 500 companies and fast‑growing startups, Redpanda enforces governance entirely outside the agent's data path, controlling what agents see, limiting what they do, and capturing a tamper‑proof record of everything they touch, so organizations never have to choose between innovation and control.

We're looking for an experienced Staff Security Engineer to own and scale application security across Redpanda's products, from the C++ core streaming engine to our Go cloud control plane, Console, and Rust/Go data‑transform SDKs. Security at Redpanda is an engineering problem, not a checklist: you'll spend your time analyzing and breaking real systems code, building the paved roads and automation that make the secure path the default, and helping teams ship faster because security is built in rather than bolted on.

You'll be one of two engineers on a small, high‑trust product security team, partnering every day with the engineers who build a system that Fortune 500 companies trust with their most critical data. Reporting to the Director of Information Security and working alongside our infrastructure security engineer, you'll own the day‑to‑day application‑security work: secure SDLC, threat modeling, code‑level vulnerability discovery, fuzzing the core engine, and our coordinated vulnerability disclosure and PSIRT response.

As the application‑security practice grows, you'll help shape its technical direction (in partnership with the Director, who owns the overall security program) and raise the security bar across all of engineering.

• Lead threat modeling and secure design reviews for new product features across the C++ engine, Go control plane, and Console, catching trust‑boundary and authorization flaws before code is written.

• Own and tune our application security testing (SAST, SCA / dependency scanning, secret scanning, and DAST) across C++, Go, and Rust, driving down false positives and gating the highest‑severity findings in CI.

• Build the fuzzing harnesses for the core engine (coverage‑guided and protocol‑aware) and partner with platform engineering to run them continuously, integrating sanitizers to surface memory‑safety and parsing defects early.

• Drive deep secure code review in systems languages, pairing your own expertise with AI‑assisted analysis, and partner with engineering to eradicate whole classes of vulnerabilities rather than patching one bug at a time.

• Operate our product security incident response (PSIRT) and coordinated vulnerability disclosure: triaging external researcher reports, driving fixes with engineering, and publishing advisories and CVEs.

• Strengthen our software supply chain (dependency hygiene, SBOMs, build provenance, and progress toward higher SLSA build levels) in partnership with platform engineering.

• Stand up a security champions program and secure‑by‑default building blocks (libraries, patterns, guardrails) so engineering teams can own security with your support.

• Define security requirements and help shape the security release gates, and advise on product security features: authentication, authorization / RBAC, encryption, audit logging, multi‑tenant isolation, and the Agentic Data Plane.

• Raise the security bar across engineering through pragmatic standards, training, and hands‑on partnership, using modern AI‑assisted development workflows (including tools like Claude Code) to scale your impact.

• 7+ years in application or product security or adjacent specialties, with a track record of owning App Sec initiatives end‑to‑end and influencing engineering teams without direct authority.

• The ability to review and reason about code in a systems language (C++ or Rust strongly preferred, since our core engine is C++; Go valuable across the cloud control plane and tooling), whether reviewing it directly or with AI assistance, with strong instincts for memory safety,…