Deployment Engineering Director, Systems Engineering

Location: UK; travel required up to 50% of the time

Company

Nscale provides high-performance GPU cloud infrastructure for AI start-ups and enterprise customers, focusing on cost-efficient AI development and sustainable data centre operations.

What you will do

• Lead and scale an engineering team responsible for core platform systems.
• Define and execute multi-quarter initiatives improving delivery velocity, system reliability, validation, and product quality.
• Partner with Product Management and engineering leaders to evolve the platform and balance architecture with near-term business needs.
• Turn ambiguous challenges involving scalability, vendor experience, and platform abstractions into clear execution plans.
• Coordinate work across internal platforms, infrastructure, and developer tooling teams.
• Raise engineering quality, operational excellence, and execution standards across the platform organization.

Requirements

• Bachelor’s degree in Computer Science or a related engineering field.
• 10+ years of Systems Engineering Management experience.
• Experience in a large cloud provider or hyperscale data centre environment.
• Experience in systems or compute operations leadership.
• Strong knowledge of Linux/Unix administration, OS-level tuning, and server/GPU hardware architecture.
• Excellent organizational, verbal, written communication, and judgment skills.

Nice to have

• Experience with virtualization, Kubernetes, Docker, and distributed systems design.
• Infrastructure-as-code and configuration management experience with Ansible, Terraform, Puppet, or Chef.
• Experience with scripting, automation, data centre design, storage, networking, or computing.
• Knowledge of system architecture, data synchronization, fault tolerance, state management, monitoring, observability, and telemetry.
• Experience with GPU burn-in and validation testing at scale, including thermal, power, and stress qualification.

Culture & Benefits

• Opportunity to shape operating standards for a next-generation AI cloud platform.
• Ownership of complex infrastructure challenges with direct business and technical impact.
• Work focused on scaling high-performance and sustainable data centre operations.
• Culture centered on innovation, ownership, accountability, openness, and transparency.