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VvCluster Labs
Canada25 days ago
150,000 – 200,000 USD
per year
Grade
Lead
Work format
Remote
English level
B2, upper-intermediate
An email or a Telegram message to the recruiter
vCluster Labs is looking for an Engineering Tech Lead focused on Product Security to help us build secure infrastructure software from the ground up. You'll 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.
We're the #1 platform for AI infrastructure, trusted by the world's fastest-growing AI cloud builders. We're a venture-backed startup that's raised over $28M from top-tier investors including Khosla Ventures (first investor in OpenAI, GitLab, Stripe, and DoorDash), and we're 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.
We're 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. Open source is part of our DNA. 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.
At vCluster Labs, we value and stand for:
As an Engineering Tech Lead (Product Security), your role will include:
Compensation: $150K - $200K per year
We offer the following benefits:
Compensation: $150K - $200K per year
vCluster Labs is looking for an Engineering Tech Lead focused on Product Security to help us build secure infrastructure software from the ground up. You'll 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:
This role could be a fit for you if you bring:
Bonus points for:
We're the #1 platform for AI infrastructure, trusted by the world's fastest-growing AI cloud builders. We're a venture-backed startup that's raised over $28M from top-tier investors including Khosla Ventures (first investor in OpenAI, GitLab, Stripe, and DoorDash), and we're 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.
We're 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. Open source is part of our DNA. 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.
We offer the following benefits:
At vCluster Labs, we value and stand for:
We compare skills, grade, work format and salary
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