vCluster Labs

Role Description As vCluster Labs' Senior Software Engineer (vMetal), you aren't just running servers; you are turning a rack of bare metal into a programmable platform. In this role, you will build the engineering work behind vMetal, the systems that discover, provision, configure, and manage physical hardware so our customers can spin up tenant clusters on top of it. You will sit at the rare intersection of out-of-band server management and modern Go services, and you will be one of the first engineers to help us grow this team. You will report to the VP of Engineering. - vMetal: You will contribute to architecture decisions, help drive the roadmap for bare metal provisioning and lifecycle management, and hold a high bar for code review and design quality on the team. - Bare Metal Programmability: Build the Go services that turn raw hardware into APIs our customers can consume. You will design and ship the systems that drive Redfish, IPMI, and PXE workflows in production, not glue scripts, real services with clean interfaces and solid tests. - Hardware Lifecycle Automation: Own how servers get discovered, inventoried, provisioned, configured, and reclaimed. You will eliminate manual intervention from the day-2 path and design for hardware that fails in surprising ways. - Cross-Generational Architecture: Translate between traditional out-of-band server management and modern Kubernetes-native patterns. You will contribute to where the abstractions live and how vMetal exposes hardware to tenant clusters cleanly. - Customer-Driven Reliability: Partner with customer engineering and the broader platform team to debug, harden, and ship against real production workloads. You will be on-call for the systems you build and you will treat reliability as a first-class deliverable. Qualifications - Go Fluency: You write production Go for a living. You can design clean services, APIs, and libraries, not just script around someone else's code. - Bare Metal Operations Depth: You have shipped systems that drive servers via Redfish and IPMI in production, and you understand PXE boot end-to-end. You have debugged what happens when a BMC lies to you. - Bare-Metal-as-a-Service Background: You have built or operated bare-metal-as-a-service offerings, an AI Cloud, or a hyperscaler bare metal team where infrastructure was the product. - Bridging Generations: You hold both server management and modern API design in your head and can design between them. You are comfortable in IPMI, iDRAC, and ILO consoles, and equally comfortable shipping a Go controller. - Operator's Instinct: You think about failure modes, telemetry, and recoverability before you ship. You have been on-call for the systems you have built and you treat that as a feature, not a tax. Requirements - Kubernetes Fluency: Comfort with Kubernetes internals, controllers, or operators, enough to design how bare metal hosts integrate cleanly with tenant clusters. - AI Cloud / Hyperscaler Time: Production experience inside an AI Cloud, hyperscaler, or large platform team where bare metal scale was non-negotiable. - Open Source Contributions: Meaningful contributions to projects in the bare metal, provisioning, or Kubernetes ecosystem, such as Tinkerbell, Metal3, Cluster API, or Ironic. Benefits - Competitive Salary: We offer a competitive compensation package, including equity. - Platinum-Level Insurance: 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 won’t have an issue with that. To us, results matter more than clocking in and out at the same time every day. - Workplace Flexibility: We’re very flexible about where you work. We know things can change in life and we’re happy to adjust the work environment for you along the way.

Senior Platform Engineer Location: United States - Canada Department: Engineering Employment Type Full time Location Type Remote Compensation - United States$150K – $200K • Offers Equity • Offers Bonus At vCluster, our compensation philosophy is rooted in our commitment to being data-driven and objective in every aspect of our business, including how we invest in our people. We aim to attract world-class talent by offering competitive compensation packages tailored to your geographic location and depth of experience. By utilizing real-time market data, we ensure our offers are both fair and reflective of the pivotal role you will play in defining the future of Kubernetes and AI infrastructure. Job Description: As a Senior Platform Engineer at vCluster Labs, you aren't just maintaining infrastructure; you are the backbone of our engineering velocity. In this role, you will act as "Customer Zero" for our own products, building the internal platforms that enable our engineering teams to ship faster, securely, and more efficiently. You will have the unique opportunity to use vCluster to create cutting-edge internal services while providing critical feedback directly to our product teams. As a Sr. Platform Engineer, your role will include: - Infrastructure Management: Own and improve our multi-cloud infrastructure spread across AWS, GCP, and Digital Ocean. You will manage Kubernetes clusters, handle patching, manage access, and enhance to ensure our tooling has robust alerts and metrics. - CI/CD Optimization: Drive the improvement of GitHub CI pipelines. You will be responsible for creating secure, repeatable testing environments and automating pipeline updates to streamline the developer experience. - Internal Services Architecture: Architect and host infrastructure for engineering development, including internal services and vCluster-specific platforms (e.g., loft.rocks, vCluster Cloud). You will empower engineers to build pipelines securely through education and tooling. - Customer Zero: Act as the first and most critical user of our products. You will push vCluster features to their limits to create useful internal tools, discovering bugs and providing feedback to Engineering to shape the future of our software. - Terraform Automation: Focus on automating updates and managing infrastructure as code using Terraform Spacelift. You will give the team the ability to create infrastructure on demand, ensuring scalability and consistency. - Execution: Manage a variety of Kanban tasks via Linear, ranging from improving observability to handling GitHub policy requests, release engineering, and access management. This role could be a fit for you if you bring: - Experience: You have 5+ years Platform Engineering or DevOps, with a focus on modern, cloud-native technologies. - Technical Fluency: You are an expert in HCL and Terraform Modules, and you have deep experience administering Kubernetes clusters. - Pipeline Mastery: You have extensive "must-have" experience with GitHub Pipelines and know how to optimize them for speed and security. - Cloud Proficiency: You have hands-on experience managing and deploying in public clouds, specifically AWS or GCP. - Modern Tech Mindset: You thrive in environments that reject legacy tech. You want to work with a modern stack where you can pick your own hardware and solve a variety of problems, from pipelines to internal services. Bonus points for: - Automation Skills: Experience writing automation scripts with Bash or Python. - Programming: Proficiency in Go or Python is a significant plus. - Kubernetes Depth: Relevant certifications such as CKA (Certified Kubernetes Administrator) or experience writing Kubernetes Operators. - Documentation: Basic experience writing technical documentation and a willingness to build AI Automation in the documentation to contribute to our knowledge base. - Tools: Familiarity with Linear for task management. About vCluster Labs 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, GitLab, 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 operational burden, and maximize the ROI of every GPU. We're the company behind vCluster, an open-source technology for virtualizing Kubernetes (10k+ GitHub stars, 40M+ virtual 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 purpose-built for running AI, ML, and GPU-intensive workloads anywhere, with an NVIDIA-validated reference architecture for DGX systems. Benefits We offer the following benefits: - Competitive Salary: We offer a competitive compensation package, including equity. - Platinum-Level Insurance: 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 won’t have an issue with that. To us, results matter more than clocking in and out at the same time every day. - Workplace Flexibility: We’re very flexible about where you work. We know things can change in life and we’re happy to adjust the work environment for you along the way. Culture & Values At vCluster Labs, we value and stand for: - Make it Happen: We have a relentless bias for action and the grit to push through obstacles. We do whatever it takes to figure it out, put in the work, and ruthlessly prioritize the actions that drive measurable impact for the business. - Own the Outcome: We understand that our responsibility doesn't end when a task is checked off; it ends when the value is delivered. We connect our daily individual actions to the broader success of the company and our customers. - Create Wow: We measure success by the experience we generate, both inside and outside the company. For our customers, this means impressive speed and intuitive experiences. For our team, this means going the extra mile to support one another and to continuously drive each other to new heights. - Open Source, Open Mind: We are actively contributing to and maintaining open-source projects. Internally, we foster meritocracy — the strongest ideas win, no matter who or where they come from. - Build Tomorrow’s Standards, Intentionally: We don't just ship software; we define the state-of-the-art of tomorrow. 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.

Lead end-to-end security for products, perform deep-dive security reviews, manage vulnerability lifecycles, and integrate security checks into workflows to ensure a robust security posture in multi-tenant environments.

• Technical Roadmap Ownership: Set the roadmap for your product surface and translate strategy into specs engineering can execute against. • Founder Partnership: Work directly with the Head of Product and Engineering leadership on the architecture tradeoffs that determine the product's trajectory. • Hands-on Validation: Run alpha and beta builds yourself. Catch integration issues before customers do. • Customer Intelligence: Engage directly with platform engineers at AI Cloud operators, regulated enterprises, and large internal platform teams. • Market Positioning: Track the cloud-native ecosystem and emerging tenancy primitives. • Cross-Functional Leadership: Bridge engineering, sales, and marketing so what we ship matches how we sell and support it.

• Onboarding Ownership: Lead end-to-end customer onboardings, from the sales handoff through to project close. You coordinate architecture workshops, platform installation, access setup, integration configuration, and operational readiness reviews. You set the tone for how customers experience vCluster from day one. • Success Planning: Build and maintain customer success plans that document business objectives, KPIs, adoption milestones, and a forward plan. You treat the success plan as a living document that drives every customer conversation, not a one-time deliverable that sits in a folder. • Value Articulation: Translate platform adoption into business outcomes. You connect Tenant Cluster growth, provisioning time savings, and developer self-service enablement to the metrics your customers care about — cost efficiency, engineering velocity, risk reduction, and platform ROI. When it's time to renew or expand, the business case is already built. • Proactive Engagement: Own the customer relationship cadence — regular check-ins, Quarterly Business Reviews, and Executive Business Reviews. You do not wait for the customer and you run executive reviews that reinforce strategic partnership, not just feature updates. • Technical Credibility: Hold credible technical conversations with platform engineers, DevOps leads, and architects. You understand the vCluster architecture well enough to discuss Tenant Cluster deployment patterns, RBAC, Tenant Isolation, integrations, and Day 2 operations. You can independently assist the customer with their technical challenges and design optimal deployment architectures. • Renewal and Expansion: Own the renewal motion for your accounts — starting 90+ days out. You recognise expansion triggers — new use cases, AI/GPU workloads, additional Tenant Clusters, tier upgrades — and you work with the Account Executive and Solutions Engineer to convert them into growth that solves real customer problems. • Customer Advocacy: Serve as the internal voice of your customers. You represent their feature requests, escalate blockers, and provide actionable feedback to Product and Engineering grounded in real account context — not anecdote.

• Lead Technical Deployments: Drive end-to-end technical deployments for GPU neocloud and AI Factory customers, from initial bare metal configuration to a validated vCluster environment. • Infrastructure Optimization: Configure and troubleshoot bare metal GPU node infrastructure, including CNI configuration, GPU Operator setup, distributed storage backends, and RDMA/InfiniBand. • Validation: Deploy and validate Kubernetes and vCluster to provide GPU-powered managed K8s. • Knowledge Transfer: Work alongside customer teams to build self-sufficiency, ensuring they can operate and grow the platform independently. • Scaling through Documentation: Document reusable playbooks and deployment architectures so your learnings become the next customer's head start. • Feedback Loop: Collaborate with Engineering and Product to surface recurring infrastructure challenges, acting as a direct feedback loop from the field into the roadmap. • Strategic Partnering: Join Sales in the pre-sales process where deep infrastructure work is required to achieve a meaningful proof of value.

• Owning the vNode technical execution: Drive the architecture for how vNode wraps containerd, integrates with the kubelet, and exposes safe isolation primitives. You will set the bar for what ships, what gets deferred, and what gets redesigned. • Going deep on container runtimes and isolation: Lead the work where vNode meets containerd, Kata Containers, gVisor, runc, and the kernel. You will be the person who can explain (and improve) exactly what happens between a Pod spec and a process running under a constrained user namespace with a tight seccomp profile. • Shipping the kubelet integration surface: Own how vNode plugs into the node lifecycle: CRI, kubelet device plugins, cgroups v2, eviction, and the rough edges between Kubernetes' node model and a runtime that does not assume one tenant per node. • Raising the engineering bar: Run technical design reviews, set the pattern for testing isolation guarantees, and mentor the engineers shipping alongside you. You are not a people manager, but you are the engineer the team copies. • Being Customer Zero for vNode: Run vNode against vCluster Platform tenant clusters internally before customers see it. You will close the loop between what AI Cloud operators need and what vNode actually does in production. • Representing vNode externally: Contribute upstream where it matters (containerd, runc, Kubernetes SIG-Node), write the technical posts that explain why namespace-based isolation is the right answer, and represent vCluster Labs at KubeCon-class venues when the timing is right.

• Content Programs: Own the full content roadmap — customer testimonials, case studies, written guides, and video content. You source the stories, shape the narrative, and produce the final asset. You are not handing this off; you are shipping it. • Product Launches: Drive go-to-market launches for new features end-to-end — positioning, messaging, launch assets, and internal enablement — so every release lands with clarity and momentum. • Sales Enablement: Translate complex technical concepts about tenant clusters, Tenant Isolation, and AI infrastructure into battle cards, one-pagers, and pitch narratives that make the sales team faster and sharper in the field. • Ecosystem & Industry Marketing: Partner with our ecosystem lead to develop content strategy for industry panels, partner spotlights, and events — making sure vCluster Labs shows up with a distinctive and consistent point of view. • Messaging & Positioning: Serve as the keeper of our messaging framework. Ensure every content asset — regardless of channel or author — reflects our brand, aligns to current business priorities, and speaks to the right buyer at the right stage.

Role Description As a Product Marketing Manager at vCluster Labs, you aren't just producing content; you are the connective tissue between what we build and why it matters. You will own the stories that land with enterprise platform teams, AI infrastructure buyers, and the ecosystem partners shaping how AI factories get built. This is a builder role: you write the case studies, script the videos, and ship the launch assets yourself — because only a PMM with command of our messaging and business priorities can get that right. - Content Programs: Own the full content roadmap — customer testimonials, case studies, written guides, and video content. You source the stories, shape the narrative, and produce the final asset. You are not handing this off; you are shipping it. - Product Launches: Drive go-to-market launches for new features end-to-end — positioning, messaging, launch assets, and internal enablement — so every release lands with clarity and momentum. - Sales Enablement: Translate complex technical concepts about tenant clusters, Tenant Isolation, and AI infrastructure into battle cards, one-pagers, and pitch narratives that make the sales team faster and sharper in the field. - Ecosystem & Industry Marketing: Partner with our ecosystem lead to develop content strategy for industry panels, partner spotlights, and events — making sure vCluster Labs shows up with a distinctive and consistent point of view. - Messaging & Positioning: Serve as the keeper of our messaging framework. Ensure every content asset — regardless of channel or author — reflects our brand, aligns to current business priorities, and speaks to the right buyer at the right stage. Qualifications - Messaging and positioning depth: You have built or refreshed a messaging framework from scratch, and you can defend positioning choices with market evidence and customer insight, not just intuition. - Go-to-market launch experience: You have run launches end-to-end — from product brief to post-launch retro — and you know what it takes to create external signal in a crowded infrastructure market. - A portfolio that shows, not tells: Blogs, long-form guides, customer stories, video scripts, social content — your work is findable, high-quality, and speaks to a technical audience without losing a business buyer. - Sales enablement fluency: You have worked directly with sales teams to translate technical depth into buying clarity. You know what a good battle card actually does for a rep in a live deal. - Builder-phase experience: You have joined a company before the playbook was written and thrived. You know how to prioritize ruthlessly and produce output that punches above your team's size. Requirements - Bonus points for: - AI infrastructure background: Experience at or with AI Cloud providers, GPU infrastructure companies, or enterprise AI platform teams. You understand the buying dynamics and vocabulary that enterprise AI factory builders bring to a deal. - Developer and platform community fluency: You have marketed to platform engineering, DevOps, or Kubernetes-native audiences and know how trust is built in open-source ecosystems. - Team-building instinct: You have thought about how to scale a content and PMM function and have opinions about when and how to bring in the next hire. Benefits - Competitive Salary: We offer a competitive compensation package, including equity. - Platinum-Level Insurance: 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 won’t have an issue with that. To us, results matter more than clocking in and out at the same time every day. - Workplace Flexibility: We’re very flexible about where you work. We know things can change in life and we’re happy to adjust the work environment for you along the way. Company Description 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, GitLab, 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 operational burden, and maximize the ROI of every GPU. We're the company behind vCluster, an open-source technology for virtualizing Kubernetes (10k+ GitHub stars, 40M+ virtual 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 purpose-built for running AI, ML, and GPU-intensive workloads anywhere, with an NVIDIA-validated reference architecture for DGX systems.

• Technical Roadmap Ownership: Set the roadmap for your product surface and translate strategy into specs engineering can execute against. We'll align scope to your background — a hyperscaler KaaS PM might own the vCluster platform, a bare metal or GPU cloud PM might own vMetal, a multi-tenancy specialist might own platform + vNode. • Founder Partnership: Work directly with the Head of Product and Engineering leadership on the architecture tradeoffs that determine the product's trajectory. • Hands-on Validation: Run alpha and beta builds yourself. Catch integration issues before customers do. • Customer Intelligence: Engage directly with platform engineers at AI Cloud operators, regulated enterprises, and large internal platform teams. The next zero-to-one comes from these conversations. • Market Positioning: Track the cloud-native ecosystem and emerging tenancy primitives. Sharpen the narrative for technical buyers and partner with GTM on messaging that lands. • Cross-Functional Leadership: Bridge engineering, sales, and marketing so what we ship matches how we sell and support it.