Senior Software Engineer (Backend)

As vCluster Labs’ Senior Software Engineer (Backend), you aren’t just writing code; you are defining the future of Kubernetes multi-tenancy. In this role, you will serve as a core architect of the vCluster Platform, tasked with navigating complex Kubernetes internals to build tools used by the world's leading engine...

As a Senior Software Engineer (Backend), your role will include:

Kubernetes Deep-Dive: Work intimately with Kubernetes internals to push the boundaries of container orchestration.

Go Development: Write high-performance, resilient Go code to power the core logic of the vCluster platform.
End-to-End Ownership: Take full ownership of your work. You are self-driven and capable of managing feature development from technical design to release without needing constant oversight.
Open Source Innovation: Engage with the community and contribute to our open-source projects. You will help define the next generation of tenancy models, creating scalable solutions for isolation and resource sharing beyond simple namespaces.
Technical Problem Solving: Tackle hard engineering challenges where the solution isn't always on ChatGPT, requiring a deep understanding of systems architecture.
Kubernetes Mastery: Deep expertise in Kubernetes internals. We value a profound understanding of how Kubernetes works (architectural patterns, networking, storage).
Technical Proficiency: Strong programming skills in Go. While Kubernetes knowledge is paramount, you must be able to translate that knowledge into clean, efficient Go code.
Builder Mindset: You build things outside of work. You have active GitHub projects, experiments, or open-source contributions that demonstrate your passion for building.
High Agency: You are highly technical and self-driven. You thrive in environments where you are expected to identify problems and solve them autonomously.
Start-Up Grit: Experience working in a high-growth environment. You are comfortable with ambiguity and eager to make an impact.

Community Contributions: A history of contributions to the Kubernetes project (Upstream), including documentation updates, Pull Requests (PRs), or active participation in Special Interest Groups (SIGs).
Startup Experience: You have been at an early-stage organization where you function autonomously and strive towards building something great.
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.