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Cloud Native Engineer

Pubblicato il 10-08-2026 - Prometeia in Milano

Among the European leaders in Enterprise Risk Management and Wealth & Asset Management solutions, Prometeia is looking for a Cloud Native Engineer to join the Cloud Team in Milan, Bologna and Rome office.

ROLE AND RESPONSIBILITIES
Candidates will take part of the Cloud&Platforms; Practice, responsible for the Prometeia group of Cloud services and platforms enabling the SaaS offering of its solutions.
The candidate will operate and will ensure the correct execution of all workloads on the reference cloud hyperscalers platforms, including AWS and Azure.
He/she
Will collaborate in the design and implementation of cloud applications and in application migration, evolution and modernisation projects and supports the deployment and release of applications;
Will configure, maintain and evolve for continuous improvement of service levels the native operations tools of the main cloud hyperscaler platforms and any third-party solutions in a multi-cloud perspective for monitoring, observability, performance, capacity, cost optimisation, etc;




Will Develop in Platform Engineering & Operations the implementation and maintenance of toolchains, automation tools and DevOps pipelines;

He/she may also be involved in internal product and solution development projects and on customer projects, including international projects. As an integral member of the team, he/she will be encouraged to maintain and evolve his/her skills in an ever-changing environment, to follow market innovations and solutions to improve and experiment with new ways and provide customers with ever higher levels of service and quality.

REQUIREMENTS:
Even minimal experience in managing operating systems (Linux, Windows), main middleware (Java and .net) and Databse (SQL and NOSQL);
Good knowledge of scripting languages, preferably Bash or Python;
The following skills will be considered a plusknowledge of native Cloud technologies and platforms (e.g. K8s, AKS, EKS, Docker, containers);
Good knowledge of software auto

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