Principal Platform Engineer (AI/Identity Platform)

Location: Madrid, Madrid, Spain; hybrid work opportunities

Company

hirify.global develops AI-native, cloud-based enterprise software for organisations managing assets, operations, and critical services.

What you will do

• Build and operate shared authentication and authorisation platform services, APIs, integrations, and automation.
• Unify authorisation across cloud-native, legacy hosting, and lifecycle cloud environments.
• Develop secure, documented, automated self-service workflows for product engineering teams.
• Write and review infrastructure and automation code, including Go-based tooling and services.
• Own platform capabilities in production, including observability, performance testing, safe rollouts, rollback, backup, and recovery.
• Support technical design decisions, code reviews, engineering standards, and other engineers.

Requirements

• Substantial hands-on experience building and operating platforms or shared infrastructure for software engineering teams.
• Strong coding and scripting skills applied to infrastructure, automation, deployment tooling, or integrations.
• Production experience with Kubernetes, containers, a major public cloud, Infrastructure as Code, CI/CD, and GitOps.
• Practical experience implementing authentication and access control, including OAuth 2.0, OpenID Connect, token-based authentication, permission models, least privilege, and tenant isolation.
• Experience with APIs, networking, data stores, distributed systems, automated testing, and production troubleshooting.
• Evidence of technical leadership through design decisions, code reviews, engineering standards, and support for other engineers.

Nice to have

• Production experience with Curity, Keycloak, SpiceDB, or comparable identity and relationship-based authorisation platforms.
• Experience with enterprise federation, SAML, policy-as-code, or identity systems in distributed multi-tenant environments.
• Experience building self-service identity APIs or SDKs for engineering teams.
• Production experience with Go, PostgreSQL, Kafka, or Redpanda.

Culture & Benefits

• Flexible and hybrid work opportunities.
• Collaborative environment focused on technical ownership, clear reasoning, and constructive challenge.
• International and diverse working environment.
• Opportunity to contribute to AI-native enterprise software and sustainability-focused products.