vCluster Labs is looking for a Technical Writer to join our documentation team. You'll write and maintain conceptual, how-to, and reference documentation across the vCluster Platform, working from design docs alongside engineers and standing up tenant clusters yourself to verify every procedure before it's published. Our docs serve a wide audience, from prospects evaluating vCluster to platform engineers. This is a hands-on role. You'll need to actually run the software, not just read about it, to write docs that hold up. As a Technical Writer, your role will include:
Documentation: Write and maintain conceptual, how-to, and reference documentation for vCluster, vCluster Platform, vMetal, and related tenant-isolation concepts.
Verification: Stand up tenant clusters yourself to verify procedures, capture screenshots, and confirm CLI output before publishing.
Collaboration: Work from projects, tickets, and design docs. Collaborate with engineers to fill documentation gaps surfaced by support and sales.
Information architecture: Contribute to product information architecture, naming conventions, hierarchy, and concept organization across the docs site.
Review and editing: Review and edit for consistency with our terminology and style guide. This role could be a fit for you if you bring:
Kubernetes fundamentals: Working knowledge of Kubernetes fundamentals (pods, namespaces, control planes) and comfort using a terminal to run commands like kubectl and helm. You should have enough to understand the docs you're writing or reviewing, not necessarily enough to design a system yet.
Technical writing: 2+ years of technical writing experience. You have demonstrated prior experience of strong technical writing.
Workflows: Familiar with ticket trackers (GitHub Issues, Jira, Linear or similar), async collaboration with engineers on a global team, automated style/lint enforcement (such as Vale), and versioned documentation workflows.
AI usage: You're comfortable and excited to use AI in your writing workflow, from drafting docs off tickets and design docs to using an AI coding assistant to verify a procedure works before writing it up to automating work with skills and agents. Bonus points for:
Posting details
Remote
Yes
Employment type
Full-time
Workplace type
Remote
Source
remotejobsorg
First seen
9/30/2026, 2:10:31 PM
Last seen
9/30/2026, 2:10:31 PM
Prior experience with container orchestration, platform engineering, or infrastructure tooling
Experience with tooling like Docusaurus, MDX, or similar
Start-Up Grit: Experience working in a high-growth environment. You are comfortable with ambiguity and eager to make an impact. About vCluster Labs 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. Benefits We offer the following benefits:
Competitive Salary: We offer a competitive compensation package, including equity.
Premium 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. Compensation Range: $130K - $170K