DevOps Engineer

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We are looking for a DevOps Engineer with in-depth knowledge of the software development lifecycle (SDLC) and a strong DevSecOps culture. The ideal candidate should be able to integrate security, automation, and monitoring practices throughout the development and deployment process, using modern tools and collaborating with multidisciplinary teams.

The opportunity:

·       Implement and maintain CI/CD pipelines using Jenkins and Ansible, ensuring continuous integration and automated deployment.

·       Manage code versions with Git and GitHub, promoting good branching and review practices.

·       Containerize applications with Docker or Podman and orchestrate them in Kubernetes.

·       Manage infrastructure on cloud providers such as Azure or GCP.

·       Configure and operate monitoring and ing systems with Grafana and Prometheus.

·       Manage logs and traceability with Splunk and OpenTelemetry.

·       Automate tasks and processes using Python scripting.

·       Ensure code security by applying OWASP standards and using tools such as Sonar and Snyk.

·       Manage Linux operating systems (Debian, Ubuntu, RHEL).

·       Adopt and promote the use of AI tools such as Copilot and Gemini for automation and security.

·       Collaborate with development, QA, and security teams to ensure the delivery of reliable and secure software.

·       Document processes, architectures, and best practices.

This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.

What you need:

·       Experience with agile frameworks.

·       English B1–B2

·       Technical Requirements:

·       Proven experience in DevOps and DevSecOps.

·       Proficiency in at least one tool in each area of the detailed technology stack.

·       Experience scripting with Python.

·       Advanced knowledge of Linux operating systems.

·       Experience with monitoring, logging, and code security tools.

·       Familiarity with AI tools for automation and security.

·       Additional Skills:

·       Analytical thinking and a focus on continuous improvement.

·       Ability to work in multidisciplinary teams and communicate technical solutions clearly.

·       Proactive in researching and adopting new technologies.

·       Preferred:

·       Certifications in DevOps, Cloud, Security, or specific stack technologies.

·       Experience in high-availability and scalability environments