Director of Platform Engineering – Data Intelligence Platform

Actian

. Lead and build a newly formed platform engineering team .

Posted 11/10/2026full-timeRemote • United States, United Kingdom, Spain, France, GermanyLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading platform engineering teams, designing cloud-agnostic infrastructure, and implementing AI-driven operations while ensuring compliance with SOC 2, ISO 27001, and GDPR standards. Proven ability to manage cloud costs and deliver scalable, reliable platform solutions.

Highest-signal resume keywords

Platform Engineering LeadershipInfrastructure As Code (Terraform/Terragrunt)Kubernetes In ProductionGitOps Delivery (Argo CD)Compliance Management (SOC 2, ISO 27001, GDPR)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Platform EngineeringInfrastructure As CodeKubernetesGitOpsCloud Cost ManagementAI/ML InfrastructureData CatalogsGraph DatabasesCloud Deployment (AWS)Security Operations

Soft Skills

Clear Written CommunicationTeam BuildingRemote Collaboration

Tools & Technologies

TerraformArgo CDAWSAzureGoogle CloudOpenTelemetryStrongDM

Industry Keywords

SOC 2ISO 27001GDPRFinOpsAI-First Mindset

Tech Stack

Tools & technologies

AWSAzureCloudKubernetesTerraform

About the role

Key responsibilities & impact

Lead and build a newly formed platform engineering team
Hire and grow platform engineers, establish the operating model, and define team standards and rituals
Design platform services and write infrastructure code
Own infrastructure for the data catalog, knowledge graph, and integration APIs
Deliver cloud-agnostic deployments across AWS, another public cloud, on-premises, and private-cloud environments
Own packaging, installation, upgrades, and supportability
Own the internal developer platform and CI/CD with GitOps delivery
Lead security operations and compliance evidence for SOC 2 Type II, ISO 27001, and GDPR, including EU data residency
Manage cloud costs and FinOps across environments
Build infrastructure for AI and ML workloads
Own observability, reliability, incident response, and the team's on-call rotation
Design and run AI agents for infrastructure operations with guardrails and audit trails
Review and retire tools replaceable by AI agents or simpler automation
Use AI coding and operations assistants and establish team standards for their use
Report to the SVP of Engineering and collaborate with product engineering, security, customer success, and support
Deliver a high-functioning platform team, portable GitOps deployments, AI-powered operations, scalable platform foundations, and automated compliance evidence within the first 12 months
Travel occasionally for team offsites and company-wide meetings

Requirements

What you’ll need

10+ years in platform engineering, infrastructure, DevOps, or SRE, including 3+ years managing engineers
Experience building or scaling a team
AI-first mindset and extensive use of AI to accelerate development
Track record of shipping on-premises or self-hosted software that customers install and run in their own environments
Deep hands-on experience with Kubernetes in production
Experience with infrastructure as code using Terraform/Terragrunt
GitOps delivery experience with Argo CD or similar tooling
Strong AWS experience and ability to design for portability across clouds
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 explicit
Clear written communication
Ability to work fully remotely across US and EU time zones with at least four hours of overlap daily with US Eastern Time and Central European Time
Nice to have: infrastructure experience for data platforms, data catalogs, or graph databases
Nice to have: Azure or Google Cloud production experience in addition to AWS
Nice to have: air-gapped or restricted-network deployments
Nice to have: AI/ML infrastructure, model serving, vector or graph data stores
Nice to have: OpenTelemetry or comparable observability tooling
Nice to have: StrongDM or comparable privileged access management tooling

Benefits

Comp & perks

Competitive salary and benefits package
Flexible work arrangements (remote or hybrid)
Opportunities for professional growth and development
Collaboration with a passionate and diverse team
Chance to be part of an innovative, fast-growing company making a significant impact in the data management space