Jobs at NexGen Cloud

The Head of Finance will shape and execute the financial operating model, overseeing financial operations, modelling, reporting, and business partnering in a high-growth tech environment.

The Business Development Manager will convert SDR leads into sales, engage with AI decision-makers, self-generate leads, conduct discovery calls on GPU infrastructure, and collaborate with sales and marketing teams.

The Procurement Lead will manage supplier relationships, oversee logistics, develop procurement processes, and identify cost-saving opportunities in a complex supply chain environment for GPU infrastructure.

Lead new logo acquisition across the US and UK, targeting large enterprise, HPC, and AI model/application builders. Own identification, pursuit, and negotiation of complex multi-year GPU cluster deals, maintain executive-level relationships, and align commercial contracts with Legal, Finance, and delivery teams.

The Presales Engineer supports sales by designing technical solutions for GPU cloud needs, conducting demos, and enabling sales teams with technical insights.

The Financial Planning Analyst supports budgeting, forecasting, and long-range planning, analyzes performance, prepares reports, and partners with various teams and stakeholders in a growing company.

The HPC Cluster Architect will design and deploy large-scale GPU clusters, manage customer requirements, and lead technical integrations for high-performance computing environments.

As Platform Operations Lead, you will enhance the operational maturity of NexGen Cloud's infrastructure, focusing on automation, reliability, and incident response while improving processes across teams.

Lead and manage a team of software engineers focusing on delivering high-quality software for Hyperstack platform. Collaborate with cross-functional teams to guide technical direction and maintain engineering quality while supporting team growth and process improvements.

The role involves owning and improving the design, deployment, and operation of OpenStack and Kubernetes environments, ensuring performance, scalability, and security of GPU workloads, while collaborating cross-functionally and driving automation using infrastructure-as-code practices.

Own and design backend systems, APIs, and user-facing features for an AI platform. Build, ship, and operate scalable model training, evaluation, and deployment workflows; improve reliability, performance, observability, and documentation; mentor engineers and drive architectural and quality improvements.