Azure DevOps Engineer
Pubblicato il 23-09-2026 - Allianz in Italia
About the Job
We are seeking a highly skilled Azure DevOps Engineer with extensive experience in software development and DevOps to lead our efforts in automating Cloud infrastructure. The ideal candidate will focus on building automation for Cloud Landing Zones and collaborate with cross-functional teams to ensure the successful implementation and maintenance of cloud solutions.
What you do
- Design, implement, and maintain scalable and efficient cloud-based solutions on AWS and Azure, leading initiatives to automate cloud infrastructure.
- Collaborate with teams to integrate best practices in development, code quality, and automation, guiding and mentoring development teams in DevOps and automation practices.
- Contribute to the design and implementation of cloud applications using serverless architectures, and event-driven patterns.
- Develop and maintain CI/CD pipelines to streamline deployments, utilizing GitOps methodologies, and applying security best practices for secure authentication and authorization.
- Monitor and optimize the performance, scalability,
and reliability of cloud applications, ensuring software systems meet functional and non-functional requirements.
- Stay updated with the latest cloud technologies and development trends, applying new tools and frameworks as needed, and fostering continuous improvement through knowledge sharing and team reviews.
- Mentor junior developers, conducting team reviews and sharing expertise to promote continuous improvement and adherence to best practices in software design, testing, and security.
What you bring
- Proven experience as a Cloud engineer or similar role, with a strong focus on AWS.
- Solid experience in software development and DevOps practices.
- Expertise in AWS/Azure infrastructure automation.
- Proficiency in programming languages such as Python, Golang, or JavaScript.
- Experience with serverless architectures, and event-driven patterns.
- Knowledge of CI/CD pipelines and GitOps methodologi