Director of Platform Engineering – Data Intelligence Platform

This is a fully remote position, open to applicants in United Kingdom, +4 more countries.

📋 Description

• Establish and lead a newly formed platform team.

• Recruit and develop platform engineers, define the operating model, and implement team standards and rituals.

• Design platform services and develop infrastructure code.

• Manage the infrastructure for the data catalog, knowledge graph, and integration APIs.

• Provide cloud-agnostic deployments across AWS, other public clouds, customer on-premises, and private-cloud environments.

• Oversee packaging, installation, upgrades, and supportability.

• Take charge of the internal developer platform and CI/CD using GitOps delivery.

• Collaborate with the security team on security operations and compliance documentation for SOC 2 Type II, ISO 27001, and GDPR.

• Supervise cloud costs and FinOps across various environments.

• Develop infrastructure for AI and ML workloads.

• Ensure observability, reliability, incident response, and manage the team's on-call rotation.

• Design and implement AI agents for infrastructure operations with appropriate guardrails and audit trails.

• Evaluate and phase out tools that can be replaced by AI agents or simpler automation solutions.

• Report directly to the SVP of Engineering and work collaboratively with product engineering, security, customer success, and support teams.

• Achieve a high-performing platform team, portable deployments, AI-enhanced operations, scalable platform foundations, and automated compliance documentation within the first 12 months.

⛳️ Requirements

• Over 10 years of experience in platform engineering, infrastructure, DevOps, or SRE, including more than 3 years in a management role.

• Proven experience in building or scaling a team.

• An AI-first approach, leveraging AI technology to accelerate development processes.

• A successful history of delivering on-premises or self-hosted software that customers can install and operate in their own environments.

• Extensive hands-on experience with Kubernetes in production settings.

• Proficient in infrastructure as code using Terraform/Terragrunt.

• Experience with GitOps delivery utilizing Argo CD or similar tools.

• Strong expertise in AWS and the capability to design for cloud portability.

• Hands-on experience with operating systems under SOC 2, ISO 27001, and GDPR regulations, including data-residency requirements.

• Experience in managing cloud costs and making cost trade-offs clear.

• Excellent written communication skills suitable for a fully remote team across US and EU time zones.

• Familiarity with Azure or Google Cloud in addition to AWS.

• Experience with air-gapped or restricted-network customer deployments.

• Background in building infrastructure for AI and ML workloads, including model serving and vector or graph data stores.

• Knowledge of observability tools like OpenTelemetry or similar solutions.

• Experience in privileged access management with StrongDM or comparable tools.

🏝️ Benefits

• Competitive salary and comprehensive benefits package.

• Flexible work arrangements, including remote or hybrid options.

• Opportunities for professional development and career advancement.

• Occasional travel for team offsites and company-wide meetings.