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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Principal Platform Lead (Internal Developer Platform) (Platform DX/AI-native enterprise software): Building a greenfield internal developer platform with service catalogues, self-service scaffolding, golden paths, developer portals, and integrated CI/CD workflows with an accent on developer experience, enterprise-scale adoption, and production AI applications. Focus on defining platform strategy, operating Kubernetes-based infrastructure, measuring developer outcomes, integrating authentication and authorization, and influencing distributed engineering teams without direct authority.
Location: Madrid, Madrid, Spain; hybrid
Company
hirify.global develops cloud-based enterprise software for asset, operations, and critical-service management, with a focus on AI-native products, large language models, agentic AI, and cloud-native technologies.
What you will do
Own the vision, roadmap, and end-to-end execution of a greenfield Internal Developer Platform, including the service catalogue, self-service scaffolding, golden paths, CI/CD integration, and developer portals.
Own the developer experience for the Nexus platform from service creation through production observability.
Work across Kairos, Nexus, Auth, Base Tech, NGA product teams, hirify.global R&D domains, IAM, infrastructure, and SRE to deliver coherent, reliable, and secure developer experiences.
Define platform standards, integrate authentication and authorization into self-service workflows, and drive adoption through onboarding metrics, self-service completion, platform NPS, time-to-first-deployment, and DORA metrics.
Establish feedback loops through surveys, usage analytics, office hours, and prioritization based on developer needs.
Influence architectural strategy, represent the developer platform in technical leadership forums, and mentor Principal and Senior platform engineers without direct management responsibility.
Requirements
8+ years in platform, infrastructure, or developer-tooling engineering, including at least 3 years in a senior/staff individual contributor or technical lead role.
End-to-end ownership of an Internal Developer Platform or developer portal such as Backstage, Port, Cortex, or an equivalent, including adoption and maintenance.
Experience bringing developer platforms into production at enterprise scale and understanding adoption challenges.
Deep hands-on infrastructure and operational experience with Kubernetes, including production deployment and operation; Kubernetes is required.
Hands-on experience with GitOps, Infrastructure as Code using Terraform or Crossplane, CI/CD pipelines, secrets management, and observability.
Experience shipping golden paths, service templates, and CI/CD standardization at scale.
Experience treating internal developers as customers, running surveys, tracking metrics, and making prioritization decisions from data.
Ability to work with or quickly learn Go for backend, React and Next.js for frontend, Kafka or RedPanda for event-driven systems, PostgreSQL, and Kubernetes on AKS.
Demonstrable hands-on experience designing, building, and shipping production AI applications, with concrete examples of AI tools used and their limitations.
Clear communication with engineering leaders and product directors, including explaining technical work to non-technical stakeholders; experience in a large, distributed engineering organization.
Culture & Benefits
Hybrid work opportunities with flexibility alongside in-person workplace experiences.
Individual contributor position with no team to delegate to, requiring hands-on coding and automation by default.
Opportunity to work on AI-native enterprise software using LLMs, agentic AI, and cloud-native technologies.
International, diverse engineering environment focused on collaboration, sustainability, and trust.
Hiring process
Applications should explain what developers used to create a new service before the candidate's platform was built and what the candidate built to change that experience.
Applications should provide concrete examples of AI tools used, their purpose, and their limitations.
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