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Sr. Automation Engineer-Developer / Infrastructure as Code

Department: Talent
Location: Col. Juárez, Alcaldia Cuauhtémoc, CDMX

At CRG Mexico, we are seeking a skilled AIOps Automation Developer Engineer to join our team. The ideal candidate will leverage artificial intelligence and machine learning technologies to enhance operational efficiency and improve incident response. You will design, implement, and optimize automation solutions to streamline IT operations and improve service reliability.

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.

 

 
 

 

 
 

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