
Nscale is the Hyperscaler engineered for AI, offering high-performance compute optimised for training, fine-tuning, and intensive workloads. From our data centres to software stack, we are vertically integrated in Europe to provide unparalleled performance, efficiency and sustainability.

Nscale is the Hyperscaler engineered for AI, offering high-performance compute optimised for training, fine-tuning, and intensive workloads. From our data centres to software stack, we are vertically integrated in Europe to provide unparalleled performance, efficiency and sustainability.
What they do: European AI hyperscaler providing vertically integrated AI cloud and GPU infrastructure for training, fine-tuning and inference
Scale & funding: Raised ~USD 1.718B across seed, Series A, Series B and a Pre-Series C SAFE
Key partnership: Large Microsoft agreement to deliver ~200,000 NVIDIA GB300 GPUs across Europe and the U.S.
Product focus: Serverless Inference, inference endpoints, fine-tuning workflows and full-stack AI infrastructure
Founded / HQ: Founded 2024; European-headquartered
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AI infrastructure and GPU compute for training, fine-tuning and inference; data-center operations and orchestration for large-scale AI workloads.
2024
Technology, Information and Internet
USD 30,000,000
Company-reported seed funding
USD 155,000,000
Participants included Kestrel 0x1, Blue Sky Capital Managers Ltd, and Florence Capital
USD 1,100,000,000
Participants included Blue Owl, Dell, Fidelity, G Squared, Nokia, NVIDIA, Point72, T.Capital and continued support from existing shareholders
USD 433,000,000
Backed by Blue Owl Managed Funds, Dell, NVIDIA, Nokia and other existing/new investors
“Backed by a mix of strategic and financial investors including Aker ASA, Blue Owl, Dell, NVIDIA, Nokia, Sandton Capital Partners, Fidelity and Point72”
About Nscale Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility.
We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you’ll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you’ll be contributing to building the technology that powers the future
About The Role The Principal Cloud Native Platform Engineer is a senior technical leader responsible for the long-term integrity, coherence, and evolution of Nscale’s cloud-native platform. This role extends beyond individual systems, focusing on architecture, standards, and engineering excellence as the organisation and platform scale.
The role combines deep hands-on engineering with strong architectural stewardship. You will act as a technical escalation point, a mentor to senior engineers, and a trusted advisor to engineering leadership, helping shape the direction of the platform and the practices used to build it.
This role requires Principal engineers to be able to accelerate the delivery of Nscale’s platform service offerings, marrying innovation with efficiency via experience in technical direction. Working closely with the Director of Cloud Native Platform Engineering
What You'll Be Doing (Responsibilities) Platform Architecture & System Design
Standardisation & Technical Governance
Mentoring & Capability Building
Cross-Team Influence
Align platform engineering decisions with:
SRE operational requirements
Infrastructure and hardware roadmaps
Product and customer needs
About You (Skills / Qualifications)
What We Can Offer You At Nscale, you'll find a collaborative, supportive, and innovative environment where your contributions spark real impact. We're building something extraordinary, and we want you at the core.
Join our thriving remote-first team. Geography is no barrier to impact or connection. We build seamless virtual collaboration, empowering you, wherever you work. Equal Opportunities Statement We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds.
If there’s anything we can do to accommodate your specific situation, please let us know.
The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role.
For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.
Define and maintain platform-wide engineering standards, including:
Controller and operator design patterns
API and CRD design guidelines
Versioning, compatibility, and deprecation strategies
Ensure consistency across teams in:
Kubernetes API usage
Reconciliation behavior
Error handling and retry semantics
Review and influence designs to prevent:
Unnecessary divergence
Overlapping abstractions
Accidental coupling between subsystems
Establish reference implementations and shared libraries where appropriate
Actively mentor Senior and mid-level engineers in:
Kubernetes internals and control plane design
Distributed systems thinking
Production readiness and failure analysis
Raise the overall technical bar through:
Design reviews
Code reviews focused on correctness and clarity
Knowledge sharing and documentation
Identify skill gaps within the team and contribute to closing them through guidance and example
Serve as a trusted technical advisor to engineering leadership
Communicate architectural intent clearly through:
Written design documents
Reviews and technical discussions
Ensure that platform changes are understandable, supportable, and well-documented