Director of Platform Engineering [gn] Data Intelligence Platform

Job summary

Build and lead a platform engineering team responsible for deploying, operating, and securing a data intelligence platform across AWS, another public cloud, private cloud, and customer on-premises environments. The hands-on director designs platform services and infrastructure, establishes GitOps delivery and CI/CD, and leads reliability, FinOps, and automated compliance for SOC 2 Type II, ISO 27001, and GDPR. The role also develops AI agents for guarded infrastructure operations and builds foundations for the platform’s AI and machine learning workloads.

Benefits

Qualifications

• At least 10 years of experience in platform engineering, infrastructure, DevOps, or SRE, including at least 3 years managing engineers.
• Experience building or scaling an engineering team.
• Track record shipping on-premises or self-hosted software for customer-managed environments.
• Production experience with Kubernetes, Terraform or Terragrunt, and GitOps using Argo CD or similar tools.
• Strong AWS experience and ability to design for portability across clouds.
• Experience operating systems under SOC 2, ISO 27001, and GDPR controls, including data residency requirements.
• Experience managing cloud costs and communicating cost trade-offs to engineering and business leaders.
• Clear written communication for a remote team across US and EU time zones.
• AI-first approach and regular use of AI to accelerate engineering work.

Responsibilities

• Build, hire, and lead a newly formed platform engineering team.
• Design platform services, write infrastructure code, and establish engineering standards.
• Deliver cloud-agnostic deployments across AWS, another public cloud, private cloud, and customer on-premises environments.
• Own the internal developer platform, CI/CD, and GitOps delivery.
• Partner with security to operate controls and automate compliance evidence for SOC 2 Type II, ISO 27001, and GDPR, including EU data residency.
• Manage cloud costs and provide cost visibility across environments.
• Build infrastructure for platform AI and machine learning workloads.
• Own observability, reliability, and incident response for team-operated services.
• Design and operate infrastructure agents with guardrails, human approval for high-risk changes, and audit trails.
• Review tooling and retire tools replaceable by AI agents or simpler automation.

Skills

Work schedule

Travel

Industry

Relocation