Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Actian

Director of Platform Engineering – Data Intelligence Platform

Actian

. Lead and stand up a newly formed platform team; hire and grow the team .

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

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in platform engineering and infrastructure management, with a strong focus on AI technologies, cloud-agnostic deployments, and compliance with SOC 2, ISO 27001, and GDPR standards. Proven ability to lead and grow teams while delivering scalable and reliable platform services.

Highest-signal resume keywords
Platform EngineeringKubernetesInfrastructure As CodeGitOps DeliveryCloud Cost Management

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Platform EngineeringInfrastructure As CodeKubernetesTerraformGitOpsAWSAI/ML InfrastructureData CatalogsCompliance ManagementCloud Portability
Soft Skills
Clear Written CommunicationTeam Leadership
Tools & Technologies
Argo CDOpenTelemetryStrongDMAI AgentsCI/CD
Industry Keywords
SOC 2 Type IIISO 27001GDPRData ResidencyFinOps

Tech Stack

Tools & technologies
AWSAzureCloudKubernetesTerraform

About the role

Key responsibilities & impact
  • Lead and stand up a newly formed platform team; hire and grow the team
  • Design platform services and write infrastructure code
  • Own platform services supporting 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
  • Build and operate the internal developer platform and CI/CD with GitOps delivery
  • Manage 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, approvals, and audit trails
  • Review and retire replaceable tools using cost and risk analysis
  • Establish engineering standards, operating model, ownership boundaries, and team rituals
  • 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-assisted 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 technology for accelerating development
  • Track record of shipping on-premises or self-hosted software that customers install and run in their own environments
  • Deep, hands-on production experience with Kubernetes
  • 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 cloud portability
  • 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 suited to a fully remote team across US and EU time zones
  • Nice to have: 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 customer deployments
  • Nice to have: AI/ML infrastructure, model serving, and 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