BeyondTrust is a place where you can bring your purpose to life through the work that you do, creating a safer world through our cyber security SaaS portfolio.

Our culture of flexibility, trust, and continual learning means you will be recognized for your growth, and for the impact you make on our success. You will be surrounded by people who challenge, support, and inspire you to be the best version of yourself.

The Role

The Principal Software Security Architect owns security architecture for BeyondTrust's product suite end to end, including endpoint agents, thick clients, SaaS platforms, APIs, identity systems, and cloud-native services. This is an engineering leadership role embedded within Engineering and Architecture teams in the Office of the CTO, accountable for designing security into products from first principles through to what ships and runs in production, rather than reviewing other teams' work from the outside.

We operate AI-first: Claude and LLM-driven workflows are how the team performs threat modeling, secure design reviews, vulnerability analysis, and developer enablement today, and this role is expected to operate at that level from day one and help extend that practice further. The ideal candidate brings 10+ years of hands-on software engineering and security architecture experience, deep expertise in threat modeling and attack surface reduction at scale, and practical experience applying LLM platforms to security engineering work.

What You’ll Do

Own end-to-end security architecture for assigned product lines, from concept through production, defining the target-state architecture and secure-by-default patterns each product builds on.
Lead threat modeling, attack surface analysis, and secure design reviews across products, platform services, endpoint agents, and cloud-native systems, driving the architectural decisions that eliminate unnecessary exposure rather than just documenting risk.
Use LLM platforms (Claude, OpenAI) as core tools to scale threat analysis, abuse-case generation, architecture review, and remediation guidance, building the prompts, plugins, skills, and agent workflows that make the engineering org faster and more consistent.
Embed secure-by-default patterns directly into product development, contributing reference architectures, reusable components, and automated guardrails, and building self-service security capabilities that let engineers make secure decisions without a bottleneck.
Own and expand the Product Security handbook, a living system that feeds the team's AI workflows to enforce secure design standards, architecture guidance, and engineering best practices.
Set technical direction for secure design across the org as a principal-level engineer, mentoring engineers, architects, and Security Champions on secure design, attack surface reduction, and AI-first security workflows.
Help evolve BeyondTrust's AI-first Product Security Architecture strategy, identifying where AI workflows can replace manual processes, where they need human oversight, and where the next capability gaps are.

What You’ll Bring

10+ years in Software Engineering, Security Architecture, Product Security, or Application Security, with a track record of owning architecture for shipping products
Deep, practical experience with threat modeling, attack surface analysis, secure design reviews, and architecture risk analysis at scale, not just in theory
Strong hands-on engineering background, with the ability to read and contribute to the codebase, design systems, and earn credibility with senior engineers as a peer
Strong understanding of cloud-native systems, APIs, endpoint agents, thick clients, and identity/security platforms
Hands-on experience using LLM platforms (Claude, OpenAI, or similar) in engineering or security workflows
Ability to influence engineering and product teams from within, acting as a persuasive, credible, and practical partner rather than a gatekeeper
Builder mindset, having created scalable security workflows, frameworks, or enablement programs, not just consumed them
Experience building AI-native security workflows, plugins, agents, or developer tooling

What Success Looks Like

Measurable reduction in product attack surface and recurring architecture risks, measured by risk eliminated, not findings produced
Security architecture for owned product lines is defined, documented, and demonstrably adopted in shipping products
Increased scale and consistency of secure design reviews through AI-first workflows
Faster identification and remediation of design-level and architecture-level risks

Staff AI Data Scientist at BeyondTrust