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Director of Platform Engineering – Data Intelligence Platform

🔥 7 minutes ago

🌐 United States, United Kingdom, +3 more countries – Remote

infoinfo

⏰ Full Time

🔴 Lead

🏗️ Platform Engineer

Where this job comes from

Posted on Actian's careers page, not through a job board

First seen by Remote Rocketship 7 minutes ago

Still open on Actian's site. Checked 1 minute ago.

Logo of Actian

Actian

201 - 500 employees

Founded 1980

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Actian is a company that offers data management and analytics platforms, enabling businesses to make confident, data-driven decisions. Their products include a cloud-native SaaS solution and a comprehensive data platform with capabilities in data management, integration, quality, analytics, and app modernization. Actian's technology supports flexible deployment options across on-premises, cloud, and hybrid environments. Their database solutions include NoSQL, RDBMS, and other database management systems ideal for diverse applications. Actian collaborates with major cloud platforms like Google Cloud, AWS, and Microsoft Azure, providing solutions across various industries such as financial services, healthcare, and retail. The company aims to empower organizations by simplifying how data is connected, managed, and analyzed, offering reliable, scalable, and high-performance solutions.

📋 Description

• 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

• 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

• 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

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