The AI-Driven DevOps Engineer is responsible for the technical implementation, further development and end-to-end ownership of a largely on-prem, legacy application portfolio and its supporting infrastructure, including the provision, supply and support of the IT infrastructure. In this role you will operate and continuously improve these applications, applying automation and AI — from CI/CD-based delivery to predictive, ML-driven monitoring — and conduct analyses and provide advisory services on the feasibility of IT requirements.
You will
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Own assigned applications end to end across their lifecycle — run, maintain, improve and decommission — for a largely on-prem, legacy application portfolio
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Monitoring & Event Management – continuously monitor application health, batch jobs and integration points, using AI-assisted anomaly detection (Dynatrace Davis) to reduce alert noise and mean-time-to-detect, and automate routine remediation
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Change Enablement & Release Support – execute application-level configuration changes and run deployments through CI/CD pipelines (Jenkins,
GitHub Actions)
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Service Request Management – fulfil operational requests such as access provisioning and data corrections
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Application Maintenance & Housekeeping – perform routine upkeep including log rotation, and provide release- and patch management
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Availability & Continuity Management – execute failover and DR procedures and validate that backups meet defined RTO/RPO targets
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Capacity & Performance Management – monitor performance and capacity trends, define SLOs and recommend improvements
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Knowledge Management & Continuous Improvement – maintain runbooks and knowledge articles, and use automation and AI to reduce operational toil
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Participate in an on-call rota, providing support to critical applications outside standard working hours
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Incident Management – receive, diagnose and resolve escalated application incidents within SLA timelines
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Problem Management – identify
📌 AI Native DevOps Engineer (Italia)
🏢 Allianz
📍 Italia
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