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Devops engineer

San Martín de Lodón
Amaris Consulting
Publicada el 10 diciembre
Descripción

Take your career to the next level with Amaris Consulting as a DevOps Engineer. Become part of an international team, thrive in a global group with €800M turnover and 1,000+ clients worldwide, and an agile environment by planning the kickoff and follow-up on cutting-edge technology projects. Join Amaris Consulting, where you can develop your potential and make a difference within the company.


✍️ WHAT WOULD YOU NEED? ✍️

* +7y experience DevOps Engineer in implementing, maintaining, and scaling secure, highly available infrastructure solutions
* Strong experience with CI/CD pipelines using tools such as Azure DevOps, Jenkins, or similar
* In-depth knowledge of Infrastructure as Code (IaC), configuration management, and automation frameworks
* Hands-on experience with cloud platforms such as AWS, Azure, and RedHat OpenShift
* Solid background in containerization technologies (Docker) and orchestration tools (Kubernetes, OpenShift clusters)
* Proficiency in scripting languages such as Python, Bash, or similar for automation and operational tasks
* Experience in monitoring and logging systems to ensure system reliability and performance
* Familiarity with security best practices across the DevOps lifecycle
* Ability to collaborate effectively with development and operations teams to streamline delivery cycles
* Professional English, Spanish or French is a plus


WHAT WILL YOU DO?

* Design, create, deploy, and monitor CI/CD pipelines to support fast and reliable software delivery
* Automate deployment workflows and corporate-level processes across multiple technology stacks
* Manage and maintain Kubernetes and OpenShift clusters, ensuring high availability and scalability
* Resolve conflicts in pull requests (PRs) and ensure code quality and integration efficiency
* Collaborate with development teams to optimize system performance, reliability, and deployment speed
* Implement and enforce security and compliance standards across infrastructure and pipelines
* Continuously improve DevOps practices by introducing automation, monitoring, and feedback loops
* Support incident resolution and contribute to system stability in production environments

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