




Job Summary: We are seeking a Cloud Storage SRE to operate and maintain cloud services, with a focus on storage and high availability, managing incidents and optimizing processes to ensure reliability. Key Highlights: 1. Cloud storage service operation and maintenance 2. Incident, ticket, and alert management (L2 support) 3. Process optimization and task automation Job Description: Experis Argentina is currently looking for a Cloud Storage Site Reliability Engineer (SRE) to join a leading telecommunications company. **Work Modality and Conditions** * CABA – Retiro * Modality: 100% on-site * Employment relationship with Experis * Advanced English (mandatory) **About the Role** * This position targets professionals with experience in **cloud service operation and maintenance**, seeking growth within a dynamic environment focused on **storage and high availability**. * The selected candidate will be responsible for providing second-level (L2) support, managing incidents, optimizing processes, and ensuring the reliability of cloud storage services. * **️ Responsibilities** * Incident, ticket, and alert management (L2 support) * Cloud storage service operation and maintenance * Definition and monitoring of SLOs * Process optimization and task automation * Capacity management and availability improvements * Implementation of disaster recovery strategies and execution of drills * **Technical Requirements** * Experience with operating systems and troubleshooting * Knowledge of automation (Shell / Python) * Experience in log, traffic, and monitoring analysis * Storage expertise: * Object Storage * Block Storage * File Storage * Fundamentals of distributed systems * Knowledge of OpenStack (Cinder preferred) * Proficiency with LVM, VxVM, and file systems (EXT3, XFS) **Skills** Analytical profile with problem-solving orientation * Strong communication skills * Teamwork and autonomy * Proactivity and focus on continuous improvement * **Preferred Qualifications** * Cloud certifications (AWS, Azure, or GCP) * Experience in O&M and monitoring optimization


