Director of Platform Engineering [gn] – Data Intelligence Platform

We are looking for an experienced Director of Platform Engineering or Director of DevOps to establish and lead our newly formed Platform Engineering organisation.

This is a hands-on technical leadership position for an engineering leader who has successfully built and scaled platform or infrastructure teams within a technology product company.

You will not simply inherit and manage an existing organisation. You will build the team, define its technical direction, establish its operating model, and remain closely involved in architecture and implementation.

You should be someone who can move confidently between strategic decisions and hands-on engineering: designing infrastructure, reviewing code, implementing automation, solving complex production challenges, and setting engineering standards.

We are an AI-first engineering organisation. We expect you to actively use AI technologies to accelerate engineering, automate infrastructure operations, and fundamentally rethink how platform teams work.

This is a builder's role, not a traditional executive management position.

• Platform Engineering & Architecture
• Establish and lead the Platform Engineering organisation from the ground up.
• Design and implement scalable, reliable platform services supporting our data catalog, knowledge graph, and integration APIs.
• Define the architecture and engineering standards used across the organisation.
• Establish clear ownership boundaries and effective collaboration with product engineering teams.
• Cloud Infrastructure & Deployment
• Design and deliver a cloud-agnostic deployment architecture across AWS, Azure or Google Cloud, and customer-managed on-premises and private-cloud environments.
• Build and maintain Kubernetes-based infrastructure in production.
• Own infrastructure as code using Terraform/Terragrunt and GitOps-based deployment using Argo CD or equivalent technologies.
• Ensure reliable installation, upgrades, maintenance, and supportability across different customer environments.
• Support restricted-network and air-gapped deployment scenarios where required.
• AI-First Engineering & Infrastructure Operations
• Integrate AI agents into infrastructure operations, including incident triage, remediation, change validation, and reporting.
• Use AI coding assistants and development agents extensively in your own daily engineering work.
• Establish practical standards for AI-assisted engineering across the platform team.
• Identify opportunities to replace traditional tools and operational processes with AI-driven automation.