Top Tech Jobs & Startup Jobs in Dublin

Build and lead vCluster Labs’ global VAR, OEM, distributor, and alliance channel from zero to revenue. Recruit and activate strategic partners, establish commercial models and deal registration, secure OEM integrations, drive co-selling and enablement, manage MDF, inspect partner pipeline, and own bookings. Initially operate as an individual contributor, then hire and lead the channel organization across North America, EMEA, and APJ.

Design polished interfaces for the vCluster Platform, partnering closely with frontend, backend, product, and engineering teams. Translate complex technical problems and ambiguous requirements into intuitive B2B product experiences. Conduct UX research and competitive analysis, communicate design decisions to stakeholders, and maintain visual consistency with the company brand. The role focuses on engineer-facing infrastructure products and requires technical curiosity, strong visual design, user empathy, and autonomous execution in a distributed startup environment.

Build production infrastructure features in Go while embedding security into the product. Own vulnerability triage and remediation through patched releases, threat-model new features, conduct security-sensitive code and design reviews, and improve secure engineering practices. Requires deep Kubernetes knowledge, including API server, admission control, RBAC, controllers, kubelet, and attack surfaces such as container breakout and privilege escalation.

Owns end-to-end test strategy, designs scalable backend and UI automation frameworks, integrates automated testing into CI/CD pipelines, performs exploratory testing, and advocates for testability and reliability across engineering and product. The role requires strong programming, Kubernetes and distributed-systems knowledge, debugging ability, and cross-functional ownership in a fast-moving startup.

Design and develop the core vCluster Platform, focusing on Kubernetes internals, tenant isolation, container orchestration, and scalable resource-sharing systems. Build high-performance Go software, own features from technical design through release, solve complex systems-architecture problems, and contribute to open-source projects. The role requires autonomous technical leadership, active collaboration with the Kubernetes community, and experience in high-growth startup environments.

Design and build the vCluster Platform using Kubernetes internals and Go. Own features end to end from technical design through release, solve complex systems architecture problems, contribute to open-source projects, and develop scalable tenant isolation and resource-sharing solutions. The role requires autonomous technical problem solving, strong Kubernetes expertise, and participation in a high-growth startup environment.

Own post-sales customer outcomes through onboarding, success planning, technical guidance, proactive engagement, renewals, and expansion. Lead architecture workshops, platform installations, integrations, operational readiness reviews, executive business reviews, and adoption programs. Translate Kubernetes and cloud-platform adoption into business value, identify risks and growth opportunities, and advocate for customer needs internally. Partner with Account Executives, Solutions Engineers, Product, and Engineering to drive measurable customer success.

Lead customer deployments of Kubernetes and vCluster on bare-metal GPU infrastructure, configuring GPU nodes, networking, storage, RDMA, and InfiniBand. Validate production-ready managed Kubernetes environments, troubleshoot complex infrastructure, transfer operational knowledge, document reusable deployment playbooks, and provide feedback to Engineering and Product. Support pre-sales proof-of-value engagements and help AI cloud and factory customers independently operate and scale their platforms.

Lead product direction for cloud-native GPU infrastructure and Kubernetes virtualization. Translate business priorities into technical specs, run alpha/beta validations, engage platform-engineer customers, define market positioning, and align engineering, sales, and marketing to ship and support scalable multi-tenant GPU platforms.

Lead architecture and execution of vNode runtime integration with containerd and the kubelet, define and test namespace-based isolation primitives, mentor engineers, run design reviews, operate internal tenant clusters, and represent the project in upstream communities and conferences.