Director of Platform Engineering (Data Intelligence Platform)

Location: Fully remote from the United States, United Kingdom, Spain, France, or Germany, with at least four hours of daily overlap with both US Eastern Time and Central European Time. Occasional travel for team offsites and company-wide meetings is expected.

Company

hirify.global develops the Data Intelligence Platform, an enterprise product that connects metadata, data lineage, data quality, and business context in a knowledge graph to help organisations govern and use reliable, AI-ready data.

What you will do

• Stand up, lead, hire, and grow a newly formed platform engineering team.
• Design and build platform services for the data catalog, knowledge graph, and customer integration APIs.
• Deliver cloud-agnostic deployments across AWS, a second public cloud, private cloud, and customer on-premises environments, including packaging, installation, upgrades, and supportability.
• Own the internal developer platform, CI/CD, GitOps delivery, observability, reliability, incident response, and on-call operations.
• Build infrastructure for AI and ML workloads and design guarded AI agents for operational triage, remediation, change validation, and reporting.
• Automate compliance evidence for SOC 2 Type II, ISO 27001, and GDPR, including EU data residency, while managing cloud costs and FinOps.

Requirements

• 10+ years of experience in platform engineering, infrastructure, DevOps, or SRE, including 3+ years managing engineers.
• Experience building or scaling an engineering team rather than only operating an established team.
• Track record of shipping on-premises or self-hosted software that customers install and operate in their own environments.
• Deep hands-on production experience with Kubernetes, infrastructure as code using Terraform or Terragrunt, and GitOps delivery with Argo CD or similar tooling.
• Strong AWS experience and the ability to design portable systems without single-cloud lock-in.
• Hands-on experience operating systems under SOC 2, ISO 27001, and GDPR controls, including data-residency requirements.
• Experience managing cloud costs and making cost trade-offs clear to engineering and business leaders.
• AI-first mindset with extensive use of AI to accelerate development and operations.
• Clear written communication suited to a fully remote team across US and EU time zones.

Nice to have

• Infrastructure experience for data platforms, data catalogs, or graph databases.
• Production experience with Azure or Google Cloud in addition to AWS.
• Experience with air-gapped or restricted-network customer deployments.
• Infrastructure experience for AI and ML workloads, including model serving and vector or graph data stores.
• Observability experience with OpenTelemetry or comparable tooling, from instrumentation through alerting.
• Privileged access management experience with StrongDM or a comparable tool.

Culture & Benefits

• Autonomy, outcome-focused work, and responsibility for solving complex platform problems.
• Fully remote work with collaboration across US and EU time zones; occasional travel is required.
• Competitive salary and benefits package.
• Flexible work arrangements, including remote or hybrid options.
• Professional growth and development opportunities within a fast-growing data management company.

Hiring process

• Submit an application to discuss how you can contribute to the platform engineering organisation.
• Qualified applicants receive consideration without regard to legally protected characteristics in the location where they apply.