Director of Platform Engineering – Data Intelligence Platform

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

📋 Description

• Lead and develop a newly established platform engineering team.

• Recruit and nurture platform engineers, create the operating model, and set team standards and practices.

• Design platform services and create infrastructure code.

• Take ownership of infrastructure for the data catalog, knowledge graph, and integration APIs.

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

• Manage packaging, installation, upgrades, and support capabilities.

• Oversee the internal developer platform and CI/CD using GitOps delivery.

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

• Manage cloud expenses and FinOps across various environments.

• Build infrastructure to support AI and ML workloads.

• Assume responsibility for observability, reliability, incident response, and the team's on-call schedule.

• Design and implement AI agents for infrastructure operations, ensuring proper guardrails and audit trails.

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

• Utilize AI coding and operations assistants, establishing team standards for their effective use.

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

• Achieve the establishment of a high-performing platform team, portable GitOps deployments, AI-powered operations, scalable platform foundations, and automated compliance evidence within the first year.

• Occasionally travel 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 application of AI to expedite development processes.

• A strong track record of delivering on-premises or self-hosted software that customers implement and operate in their environments.

• In-depth hands-on experience with Kubernetes in production settings.

• Proficient in infrastructure as code using Terraform/Terragrunt.

• Experienced in GitOps delivery utilizing Argo CD or similar tools.

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

• Hands-on experience managing operating systems under SOC 2, ISO 27001, and GDPR compliance, including data residency considerations.

• Proven ability to manage cloud expenditures and make cost trade-offs transparent.

• Excellent written communication skills.

• Capability to work fully remotely across US and EU time zones, with a minimum of four hours overlap daily with US Eastern Time and Central European Time.

• Nice to have: experience with infrastructure for 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 deployments.

• Nice to have: expertise in 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 tools.

🏝️ Benefits

• Competitive salary and benefits package.

• Flexible work arrangements (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 space.