Engineering Tech Lead (Product Security)

vCluster Labs is looking for an

Engineering Tech Lead

focused on Product Security to help us build secure infrastructure software from the ground up. Youll bring hands-on penetration testing and deep Kubernetes expertise to our products, while reviewing security-sensitive designs, threat modeling new features, investigating vulnerabilities, and helping teams make sound security decisions as the platform evolves.

As an Engineering Tech Lead (Product Security), your role will include:
Penetration testing:

Review security-sensitive designs early, identify risks, and help teams make sound security decisions as the platform evolves.
Participate in code reviews, design reviews, and technical discussions with the rest of the engineering team.
Improving security practices across engineering:

Help engineers build secure defaults into the product.
Hands-on penetration testing:

Hands-on experience with container breakout, privilege escalation, RBAC, and policy best practices.
Working knowledge of the API server, admission control, RBAC, controllers, and the kubelet, ideally from building controllers or operators with controller-runtime, Kubebuilder, or client-go.
Experience threat modeling and reviewing designs for production systems, and explaining risk clearly to other engineers.
Production engineering in Go:

Experience building and shipping production systems with Go as a primary language.
Bonus points for:
Experience at an early-stage organization where you function autonomously and strive towards building something great.
Were the #1 platform for AI infrastructure, trusted by the worlds fastest-growing AI cloud builders. Were a venture-backed startup thats raised over $28M from top-tier investors including Khosla Ventures (first investor in OpenAI, GitLab, Stripe, and DoorDash), and were in a hyper-growth phase looking for motivated people to join our team. Our headquarters are in San Francisco (Salesforce Tower), but our team is distributed around the globe with a remote-first culture.
We give AI Cloud providers and AI factories a hyperscaler-like experience on their own GPU infrastructure. Our platform runs the full stack an operator needs, from bare metal provisioning and node lifecycle management up through managed Kubernetes, Slurm, Ray, and inference clusters, so they can turn raw GPUs into cluster products they can sell in days instead of spending 12+ months building it themselves. Today we power over 100,000 GPUs and 1 million CPUs across 50+ AI clouds and Fortune 500 companies, backed by a team of 40+ infrastructure engineers who build alongside our customers rather than just shipping them software.
Were the company behind vCluster, the open source technology for tenant isolation on Kubernetes, with 11,000+ GitHub stars and 40M+ tenant clusters created since 2021. At KubeCon North America 2025, we launched our Infrastructure Tenancy Platform for AI, a Kubernetes-native framework built for running AI, ML, and GPU-intensive workloads anywhere, with an NVIDIA-validated reference architecture for DGX systems.
Competitive Salary

: We offer a competitive compensation package, including equity.
Health, dental, vision, and life Insurance, including plans for you and eligible dependents (benefits vary depending on country).
Flexible Working Schedule:

You have a doctor’s appointment or need to head to the supermarket to get groceries at 2pm? We’re very flexible about where you work. We connect our daily individual actions to the broader success of the company and our customers.

For our customers, this means impressive speed and intuitive experiences. Open Source, Open Mind:

We are actively contributing to and maintaining open-source projects. Build Tomorrow’s Standards, Intentionally:

We dont just ship software; We are fearless in tearing down old approaches to build something better, but we are disciplined in how we do it because we know our users rely on our technology to run mission-critical infrastructure platforms.