03 ago
|
Datalogic
|
Italia
Job Description
KEY RESPONSIBILITIES
DevOps Engineering
Design, implement, and maintain highly available and scalable infrastructure on Google Kubernetes Engine (GKE).
- Administer and optimize GitLab for source code management, CI/CD pipelines, developer productivity, and security controls.
- Manage and support Jenkins automation servers, including job configuration, plugin management, and system upgrades.
- Oversee JFrog Artifactory administration, including repository management, access control, artifact lifecycle, and integration with CI/CD pipelines.
- Connect and cooperate with an external consulting agency providing support for the maintenance of JFrog
- Build, maintain, and improve CI/CD workflows across R&D; teams, proposing the adoption of best practices.
- Monitor infrastructure performance, troubleshoot issues, and ensure high service availability.
- Collaborate closely with R&D; development teams and QA teams to foster DevOps culture and streamline engineering processes.
- Ensure compliance with security, audit, and data protection requirements.
R&D; Software Procurement Support
- Act as the primary point of contact for R&D; teams regarding software acquisition requests.
- Assist in identifying suitable software solutions based on technical, functional, and licensing needs.
- Collaborate with IT, Finance, Purchasing, and Legal/Compliance teams during the evaluation and purchasing process.
- Support vendor assessment, quote comparisons, license model evaluations, and cost-vantaggi analysis.
- Maintain an updated overview of commonly used R&D; software, licenses, renewals, and consumption.
- Facilitate contract renewals and ensure alignment with budget and strategic priorities.
- Provide guidance to R&D; teams on software usage policies, license compliance, and procurement workflows
EXPERIENCE
- Proven experience in a DevOps, Platform Engineering, or Infrastructure role, 2-3 years.
- Strong hands-on experience with:
- GKE (Google Kubernetes Engine): cluster
📌 DevOps Engineer (Italia)
🏢 Datalogic
📍 Italia