استخدام DevOps Engineer

We are looking for an experienced DevOps Engineer to help Design, operate, and scale highly available platforms. The ideal candidate has strong expertise in observability, Automation, and CI/CD, combined with hands-on experience in container orchestration. If you are passionate about reliability, performance, and improving engineering workflows, please review the technical requirements below:

technical requirements:

• Strong expertise in load balancing concepts and High Availability (HA) architectures.
• Proficiency in the ELK Stack (Elasticsearch, Logstash, Kibana).
• Expertise in Graylog with solid troubleshooting skills.
• Hands-on operational experience with Docker Swarm and Kubernetes.
• Proficiency in Gitlab and implementation of CI/CD pipelines.
• Ability to Design, deploy, and maintain Automation solutions.
• Solid programming and scripting skills (for Automation and operational tasks).
• Strong command of Monitoring services and Time Series Databases (TSDB).
• Proficiency in working with queuing services (e.g., RabbitMQ, Kafka).
• Familiarity with microservices Architecture and its core concepts.
• Familiarity with Agile methodologies and task management tools such as Jira and Confluence.

Soft Skills:

• Ability to approach unfamiliar situations with structured, logical thinking rather than relying on pre-learned patterns.
• Capacity to collaborate effectively in environments where priorities evolve, while maintaining alignment with the team.
• Comfort making decisions under uncertainty, paired with accountability for outcomes.
• Consistency in maintaining professional, clear communication, especially under time pressure or conflicting viewpoints.
• Habit of breaking complex problems into smaller, verifiable steps, instead of depending on assumptions.
• Ability to remain objective during incidents, focusing on observable facts and data.
• Willingness to challenge assumptions respectfully, supported by reasoning and evidence.
• Long-term learning mindset, prioritizing conceptual understanding over tool-specific knowledge.
• Reliability in execution, delivering work with predictability and discipline.
• Capacity to connect technical details to broader system impact, understanding how local decisions affect overall performance.