Own and evolve our platform components – WildFly, ActiveMQ, Keycloak, and the Java abstraction layer that makes them usable for product teams
Improve the release engineering pipeline (GitLab, Jenkins) and build automation – making deployments more reliable and less error-prone
Maintain and extend the Java-based Deployment Manager and Ansible playbooks for virtual machine environments (on-premises, Azure, AWS)
Question complexity and simplify wherever justified – your goal is a platform that teams don’t have to think about because it just works
Support the migration of on-premises infrastructure to Azure or AWS
Collaborate with development and operations teams – you serve both as customers, not as a back-office function
Use AI tools actively to improve test coverage, documentation quality, automation, and problem-solving

Background in IT Operations, Systems Administration, or Site Reliability Engineering
Hands-on experience with automation tooling – especially Ansible – and scripting (Bash, Python)
Solid Java development skills – enough to maintain and extend our Deployment Manager and platform abstraction layer
Experience with Linux/Windows virtual machine environments and cloud administration (Azure and/or AWS)
Familiarity with platform infrastructure components – application servers, message queues, or authentication platforms – you’ve worked with the category even if not our exact stack
Proven, hands-on use of AI tools as a core part of your workflow – not just awareness
Professional-level English, written and verbal.

Nice to Have

Direct experience with our stack: WildFly, ActiveMQ, Keycloak, or Solr/Elasticsearch
Experience designing and executing a search platform migration or replacement
Experience administering GitLab CI/CD pipelines and Jenkins
Familiarity with containerisation (Docker, Kubernetes) – we use virtual machines today but the landscape is evolving
Italian or German language skills – useful but not required

Platform Engineer

Key skills