Senior App Security Engineer - Kubernetes & Go

As a Sr. Application Security Engineer at vCluster Labs, you are the architect of trust in our diverse ecosystem. In this role, you will be responsible for the end-to-end security of our product, ensuring that vCluster remains the de facto standard for secure Kubernetes multi-tenancy. You will define the security standards that allow our customers to run high-privileged workloads without fear, building in-depth strategies that span our entire codebase and infrastructure.

As a Sr. Application Security Engineer, your role will include:

• Core Product Security: Perform deep-dive security reviews of our core Go-based applications and Kubernetes controllers, as well as the frontend user interface. With a targeted focus on avoiding privilege escalation within our multi-tenant architecture.

• Threat Modeling: Lead the threat modeling process for new features, proactively identifying risks associated with shared GPU resources and multi-cloud environments.

• Automated Security: "Shift left" by continuing to integrate security checks into our CI and developer workflows. Optimizing these checks for speed, ensuring security never becomes a bottleneck for engineering velocity. Separately, you will manage automated and manual scanning of our entire product stack.

• Vulnerability Management: Own the lifecycle of security vulnerabilities from discovery to remediation. You will triage both external and internal reports, drive the resolution of critical issues across the engineering organization, and communicate effectively across stakeholders.

• Feature Development:
  Everyone at the organization contributes to both the ideas and development of new features. Many of which are directly related to security topics such as container breakouts and isolation, pushing the envelope of what’s possible in constrained environments.

• Developer training:
  Make complex topics easier to understand for all engineers, including new attack vectors and secure coding concepts.

This role could be a fit for you if you bring:

• Experience: You have 5+ years in Application Security or Product Security, with a strong focus on containerized environments.

• Kubernetes Depth: You have a deep understanding of Kubernetes architecture, RBAC, and container runtime security. You understand the specific risks of multi-tenancy.

• Code Proficiency: You are comfortable reading and writing Go, which is the language of our core product. You can spot a vulnerability in a PR without relying solely on automated tools.

• Modern Tech Mindset: You thrive in fast-paced cutting-edge environments. You are excited to solve novel problems related to AI and multi-tenant infrastructure.

• Cognitive Flexibility: You view feedback as a learning mechanism, not a critique, and are willing to understand the unique needs and concerns of our customers.

Bonus points for:

• Certifications: CKS (Certified Kubernetes Security Specialist) or OSCP.

• AI/GPU Context: Experience securing AI workloads or GPU cloud infrastructure.

• Automation Skills: Experience writing custom security tooling or automation scripts in Python or Go.

• Documentation: A willingness to contribute to our public-facing security documentation and "Trust Center" to help our customers navigate compliance.

We are a venture-backed tech startup and the company pioneering Kubernetes virtualization for the AI era. We raised +$30M from top-tier VCs such as Khosla Ventures (first investor in OpenAI, Git Lab, Stripe, Doordash) and are in a hyper-growth phase looking for motivated people to complement our team. Our headquarters are in San Francisco (Salesforce Tower), but our team is distributed around the globe and we have a remote-first work culture.

We are the leading platform for operating GPU infrastructure, enabling AI Cloud providers to deliver a hyperscaler-like experience to their customers and AI factories that need to build that same experience for their internal teams. Our platform delivers the full operational stack operators need to run their GPU data centers — managed Kubernetes, fast isolated tenant provisioning, and automated node provisioning and lifecycle management — enabling them to accelerate time to value, reduce…