{"id":4079670,"url":"https://alion.io/job/actian-director-of-platform-engineering-gn-data-intelligence-platform-3","title":"Director of Platform Engineering [gn] – Data Intelligence Platform","company":{"id":20379,"name":"Actian","domain":"actian.com","url":"https://alion.io/company/actian","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":null},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":{"label":"UTC-5 – UTC+2","utc_offset_min":-5,"utc_offset_max":2},"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["US","DE","FR","GB","ES"],"hiring_countries_total":5,"salary":null,"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"ArgoCD","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"GDPR","optional":false},{"name":"GitOps","optional":false},{"name":"Incident Management","optional":false},{"name":"ISO 27001","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Platform Engineering","optional":false},{"name":"SOC 2","optional":false},{"name":"Terraform","optional":false},{"name":"Terragrunt","optional":false},{"name":"FinOps","optional":true},{"name":"OpenTelemetry","optional":true}],"status":"live","first_seen_at":"2026-11-10T12:34:00Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-14T00:17:17Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"About Actian\nActian is the company behind the Data Intelligence Platform - an enterprise solution that helps organisations discover, govern, and trust their data at scale.\nOur platform connects metadata, data lineage, data quality, and business context into a single knowledge graph, enabling enterprises to turn raw data into reliable decisions and providing the trusted data foundation required for enterprise AI.\nWe operate globally, move fast, and build for the long term.\nThe Opportunity\nWe are looking for an experienced Director of Platform Engineering or Director of DevOps to establish and lead our newly formed Platform Engineering organisation.\nThis is a hands-on technical leadership position for an engineering leader who has successfully built and scaled platform or infrastructure teams within a technology product company.\nYou will not simply inherit and manage an existing organisation. You will build the team, define its technical direction, establish its operating model, and remain closely involved in architecture and implementation.\nYou should be someone who can move confidently between strategic decisions and hands-on engineering: designing infrastructure, reviewing code, implementing automation, solving complex production challenges, and setting engineering standards.\nWe are an AI-first engineering organisation. We expect you to actively use AI technologies to accelerate engineering, automate infrastructure operations, and fundamentally rethink how platform teams work.\nThis is a builder's role, not a traditional executive management position.\nWhat You Will Own:\n1. Platform Engineering & Architecture\nEstablish and lead the Platform Engineering organisation from the ground up.\nDesign and implement scalable, reliable platform services supporting our data catalog, knowledge graph, and integration APIs.\nDefine the architecture and engineering standards used across the organisation.\nEstablish clear ownership boundaries and effective collaboration with product engineering teams.\n2. Cloud Infrastructure & Deployment\nDesign and deliver a cloud-agnostic deployment architecture across AWS, Azure or Google Cloud, and customer-managed on-premises and private-cloud environments.\nBuild and maintain Kubernetes-based infrastructure in production.\nOwn infrastructure as code using Terraform/Terragrunt and GitOps-based deployment using Argo CD or equivalent technologies.\nEnsure reliable installation, upgrades, maintenance, and supportability across different customer environments.\nSupport restricted-network and air-gapped deployment scenarios where required.\n3. AI-First Engineering & Infrastructure Operations\nIntegrate AI agents into infrastructure operations, including incident triage, remediation, change validation, and reporting.\nUse AI coding assistants and development agents extensively in your own daily engineering work.\nEstablish practical standards for AI-assisted engineering across the platform team.\nIdentify opportunities to replace traditional tools and operational processes with AI-driven automation.\nBuild the infrastructure required to support AI and ML workloads, including model-serving environments and associated data services.\nEnsure appropriate human oversight, security guardrails, and auditability for AI-driven operations.\n4. Security, Compliance & Reliability\nEstablish security and compliance practices supporting SOC 2 Type II, ISO 27001, and GDPR.\nEnsure compliance with EU data residency and customer-specific security requirements.\nImplement automated compliance evidence collection and audit readiness.\nEstablish observability, monitoring, incident management, and on-call practices.\n5.Team Building & Leadership\nRecruit, develop, and lead a high-performing Platform Engineering team.\nDefine the team's structure, responsibilities, processes, and engineering culture.\nRemain technically involved while developing the team's capabilities and autonomy.\nWork closely with the SVP of Engineering and other technical leaders to align platform strategy with business and product priorities.\nWhat You Will Deliver in Your First 12 Months:\nBuild and establish a high-performing Platform Engineering team with clear ownership and responsibilities.\nDeliver a portable deployment architecture supporting AWS, at least one additional public cloud, and customer-managed infrastructure.\nEstablish infrastructure as code and GitOps delivery as standard engineering practices.\nIntroduce AI agents into operational workflows, with measurable reductions in manual effort and operational overhead.\nDeliver scalable infrastructure foundations for our data catalog, knowledge graph, and integration APIs.\nAutomate compliance evidence collection and improve audit readiness.\nEstablish a reliable operating model covering observability, incident response, security, and cloud cost management.\nWhat You Bring:\nLeadership & Experience\n10+ years of professional experience in Platform Engineering, DevOps, Infrastructure Engineering, or SRE.\nAt least 3 years of direct engineering management experience.\nCurrently operating at Director of Platform Engineering, Director of DevOps, or an equivalent hands-on Director-level position.\nDemonstrated experience building and scaling engineering teams, rather than exclusively managing established organisations.\nA strong track record of delivering and operating production platforms within a technology product company.\nThe ability to combine technical leadership with hands-on engineering execution.\nTechnical Expertise\nDeep, hands-on production experience with Kubernetes.\nStrong infrastructure-as-code experience, particularly Terraform or Terragrunt.\nProven experience implementing GitOps and CI/CD pipelines using Argo CD or comparable technologies.\nStrong AWS expertise and practical experience designing cloud-portable architectures.\nExperience with Azure or Google Cloud is highly desirable.\nDemonstrated experience with self-hosted or on-premises enterprise software deployments.\nPractical experience with SOC 2, ISO 27001, GDPR, and data residency requirements.\nExperience with cloud cost optimisation, FinOps, and infrastructure efficiency.\nAI-First Mindset\nExtensive practical use of AI coding assistants, development agents, and AI-driven automation.\nExperience applying AI to engineering productivity and infrastructure operations.\nAbility to identify, implement, and govern AI-driven operational workflows.\nA forward-looking mindset about how AI will change platform engineering and infrastructure management.\nLeadership Approach\nStrong ownership and execution skills.\nComfortable making technical decisions and taking responsibility for their outcomes.\nAble to build teams and systems from scratch.\nClear communication and the ability to work across distributed international engineering teams.\nComfortable working across US Eastern and Central European time zones.\nNice to Have:\nExperience with enterprise data platforms, data catalogues, metadata management, or graph databases.\nProduction experience across multiple cloud providers.\nExperience with air-gapped and restricted-network deployments.\nInfrastructure for AI/ML workloads, model serving, vector databases, or graph data stores.\nOpenTelemetry or comparable observability technologies.\nPrivileged access management solutions such as StrongDM.\nHow You Will Work:\nYou will report directly to the SVP of Engineering and work closely with Product Engineering, Security, Customer Success, and Support.\nThis is a fully remote position based in the US East Coast, UK, Germany, France, or Spain, subject to local employment eligibility.\nYou should be able to maintain at least four hours of daily overlap with both US Eastern Time and Central European Time.\nOccasional travel for team offsites and company-wide meetings may be required.\nWe value builders over theorists, ownership over hierarchy, and measurable outcomes over activity.\nIf you have built and scaled a platform engineering organisation, remain technically hands-on, and believe AI should fundamentally change how infrastructure teams operate, we would like to hear from you.\nWhat We Offer:\nThe chance to be part of an innovative, fast-growing company making a significant impact in the data management space.\nCollaboration with a passionate and diverse team.\nCompetitive salary and benefits package.\nFlexible work arrangements (remote or hybrid).\nOpportunities for professional growth and development.","description_format":"text","description_chars":8426,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Flexible schedule"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"Germany","iso":"DE","kind":"country"},{"name":"France","iso":"FR","kind":"country"},{"name":"United Kingdom","iso":"GB","kind":"country"},{"name":"Spain","iso":"ES","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Data Integration & ETL Tools","Data Governance & Catalogs","Data Warehouses & Lakehouses","Databases & 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