Junior DevOps Engineer – DevOps Team

This is a fully remote position, open to applicants in Germany, +1 more country.

📋 Description

• Establish, configure, test, and sustain infrastructure across development, staging, testing, and production environments.

• Contribute to the implementation of Infrastructure as Code by adhering to established modules, conventions, and review processes.

• Assist with the configuration, maintenance, release readiness, and deployment activities of CI/CD pipelines.

• Investigate incidents by gathering logs and monitoring evidence, executing initial triage, and documenting solutions.

• Set up monitoring checks and alerts.

• Engage in backup and recovery processes.

• Adhere to security best practices, including least-privilege access management and secure handling of secrets.

• Keep infrastructure documentation, deployment guidelines, architecture diagrams, and operational runbooks updated.

• Collaborate with developers, QA engineers, security experts, and operations teams.

• Continuously enhance technical skills through mentoring, certifications, and participation in projects.

⛳️ Requirements

• Minimum of 1 year of hands-on experience with at least one public cloud platform: AWS, Azure, or GCP.

• Strong understanding of Linux administration and networking basics, including TCP/IP, DNS, HTTP/HTTPS, services, packages, and system metrics.

• Familiarity with CI/CD principles and practical experience with tools like GitHub Actions, GitLab CI, Azure DevOps, Jenkins, or TeamCity.

• Knowledge of containerization concepts and practical experience with container images and runtime environments.

• Scripting skills using Shell and either Python or PowerShell.

• General understanding of Infrastructure as Code and configuration management tools such as Terraform and Ansible.

• Familiarity with SDLC processes and DevOps principles.

• Basic knowledge of databases, monitoring, logging, backup, storage, and security concepts.

• Understanding of authentication and authorization concepts, TLS, and secure secrets management.

• Experience in using AI assistants responsibly while validating outputs and upholding data security standards.

• Strong communication and collaboration skills.

• At least an Upper-Intermediate level of English proficiency.

🏝️ Benefits

• Support for continuous learning.

• Mentorship from Senior and Principal-level professionals.

• Assistance with certification growth.

• Clear career development pathways.

• Access to international project opportunities.

• Collaborative working environment.

• Opportunities to enhance cloud and automation skills.