Director of Platform Engineering – Data Intelligence Platform

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

📋 Description

• Lead and establish a newly formed platform team; recruit and develop team members.

• Design platform services and create infrastructure code.

• Own the platform services that support the data catalog, knowledge graph, and integration APIs.

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

• Manage packaging, installation, upgrades, and overall supportability.

• Build and operate the internal developer platform and CI/CD utilizing GitOps delivery.

• Oversee security operations and compliance documentation for SOC 2 Type II, ISO 27001, and GDPR, including EU data residency requirements.

• Manage cloud expenditure and FinOps across various environments.

• Build infrastructure to support AI and ML workloads.

• Take ownership of observability, reliability, incident response, and the team's on-call rotation.

• Design and operate AI agents for infrastructure functions with established guardrails, approvals, and audit trails.

• Review and phase out replaceable tools based on cost and risk assessments.

• Establish engineering standards, operational models, ownership boundaries, and team rituals.

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

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

• Travel occasionally for team offsites and company-wide meetings.

⛳️ Requirements

• Over 10 years of experience in platform engineering, infrastructure, DevOps, or SRE, including at least 3 years in a managerial role.

• Proven experience in building or scaling a team.

• An AI-first mindset with extensive use of AI technologies to accelerate development processes.

• A history of delivering on-premises or self-hosted software that clients can install and operate independently.

• In-depth, hands-on production experience with Kubernetes.

• Proficiency in infrastructure as code using Terraform/Terragrunt.

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

• Strong expertise in AWS with the ability to design for cloud portability.

• Practical experience operating systems under SOC 2, ISO 27001, and GDPR controls, including adherence to data residency requirements.

• Experience managing cloud expenditures and making cost trade-offs transparent.

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

• Nice to have: experience with data platforms, data catalogs, or graph databases.

• Nice to have: production experience with Azure or Google Cloud in addition to AWS.

• Nice to have: experience with air-gapped or restricted-network customer deployments.

• Nice to have: knowledge of AI/ML infrastructure, model serving, and vector or graph data stores.

• Nice to have: familiarity with OpenTelemetry or similar observability tools.

• Nice to have: experience with StrongDM or similar privileged access management solutions.

🏝️ Benefits

• Competitive salary and comprehensive benefits package.

• Flexible work options (remote or hybrid).

• Opportunities for professional growth and development.

• Collaboration with a passionate and diverse team.

• Opportunity to be part of an innovative, fast-growing company making a significant impact in the data management sector.