Senior AI Infrastructure & DevOps Lead

DNEG; Greater London; On-site; GBP 150,000 - 190,000; Full time

Job summary

Brahma AI is building state‑of‑the‑art generative AI platforms, powering AI models and GPU‑heavy workloads across multi‑cloud environments. We seek a Lead Infrastructure/DevOps Engineer to drive a 7‑person team and own the core platform infrastructure for scalable training and deployment pipelines.

You will guide architecture, implement IaC, and optimize cloud costs while ensuring security and reliability for enterprise AI research and production workloads.

Qualifications

• Leadership experience leading 5+ infra/DevOps engineers.
• Hands-on AI/GPU infra for compute-heavy workloads.
• Proficiency with Kubernetes, Docker, Terraform/OpenTofu, and multi‑cloud (GCP).
• Designing/maintaining high‑performance storage architectures.
• Cloud cost governance, FinOps, capacity planning, vendor management.
• Strong communication bridging business needs and technical infra.

Responsibilities

• Lead and mentor a team of DevOps and Infrastructure engineers.
• Drive agile delivery, sprint planning, and backlog prioritisation.
• Set Reliability Engineering, IaC, CI, and incident post‑mortems standards.
• Act as technical bridge between infra, ML researchers, and AI apps.
• Oversee GPU clusters and multi‑cloud infra for model training and inference.
• Manage FinOps, cloud/hardware costs and vendor terms; optimise GPU use.
• Standardise deployments with Terraform/OpenTofu and Kubernetes.
• Collaborate on security to meet ISO 27001, SOC 2 and related standards.

Skills

Leadership

AI/GPU infra

Multi-Cloud

High‑Performance Storage

FinOps / Cloud Cost

Communication

Tools

Kubernetes

Docker

Terraform/OpenTofu

GCP

Job description

Brahma AI is building state‑of‑the‑art generative AI platforms, powering AI models and GPU‑heavy workloads across multi‑cloud environments. We seek a Lead Infrastructure/DevOps Engineer to drive a 7‑person team and own the core platform infrastructure for scalable training and deployment pipelines.

You will guide architecture, implement IaC, and optimize cloud costs while ensuring security and reliability for enterprise AI research and production workloads.