*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.