DevOps Specialist
Pubblicato il 13-10-2026 - Teamsystem in Cuneo
We are the leading Tech Company in Europe, supporting digital innovation for over 45 years. We are committed to bringing digital technology into every business. How? By putting customers first and becoming the go-to partner for professionals, small, medium and large companies, offering customised solutions and services to optimise business processes, from HR and customer relations to e-invoicing and digital payments.
The Research and Development team is the beating heart of the Group's innovation. We are constantly committed to researching and developing new technologies and solutions to anticipate market needs and exceed our customers' expectations. We invest significantly in artificial intelligence (AI), exploring its potential to develop innovative solutions and improve our products and services.
Join an agile team where you can enhance your technical skills by participating in challenging and scalable projects in the field of software development. In a fast-paced development environment focused on growth and innovation,
you will be responsible for translating requirements into code to create, improve and maintain high-quality software.
In particular, you will:
- Design and implement innovative cloud-based technology solutions on Microsoft Azure or Amazon AWS.
- Collaborate closely with cross-functional teams to identify opportunities for enhancing IaaS and PaaS services.
- Manage infrastructure automation and oversee the configuration of CI/CD pipelines.
- Ensure robust web security and apply configuration hardening best practices.
- Administer and maintain network systems and architecture.
- Perform debugging and optimization of applications to ensure performance and reliability.
What skills are we looking for?
- At least 6 years of experience in a similar role.
- Solid knowledge of Microsoft Azure.
- Experience with infrastructure automation tools such as Terraform and Ansible.
- Proficiency in Git and GitLab CI/CD workflows.
- Strong understanding of data