**Requirements**:- Fluent in English.High Proficiency level (must).
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Proven experience in AIOps, automation engineering, or related roles.
- Certifications in AIOps, ITIL, or relevant technologies.
- Experience with machine learning algorithms and data analysis techniques.
- Knowledge of DevOps practices and CI/CD pipelines.
- Proficiency in programming/scripting languages (e.g., Python, Bash, Java).
- Familiarity with AIOps platforms (e.g., Moogsoft, Dynatrace, Splunk).
- Strong understanding of IT operations, incident management, and monitoring tools.
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus.
- Excellent problem-solving skills and the ability to work in a fast-paced environment.
- Strong communication skills and the ability to collaborate with diverse teams.
**Responsibilities**:- Develop and implement AIOps solutions to enhance IT operations through automation and predictive analytics.
- Collaborate with cross-functional teams to gather requirements and understand operational challenges.
- Monitor system performance and identify opportunities for automation and optimization.
- Create and maintain automation scripts and workflows using relevant tools and technologies.
- Analyze large datasets to derive actionable insights and improve incident management processes.
- Troubleshoot and resolve issues related to automation processes and tools.
- Stay current with emerging AIOps technologies and industry best practices.