IT Operation Engineer

Lenovo

CDI, CDI , Lyon, 69002, France Agroalimentaire / Nutrition animale
Publiée le
02/06/2026
Contrat
CDI, CDI · Inconnue
Localisation
, Lyon, 69002, France
Taille équipe
Inconnue emp.
Rémunération
Inconnue
Inconnue Inconnue ans exp. Francais

Avantages

Incentives à long termeMutuelle santéMentorat
Missions clés Perform troubleshooting, rapid diagnosis, and resolution of user issues/incidents within SLA · Respond to user inquiries and service requests promptly · Monitor system health proactively to ensure stability and availability · Collaborate with upstream and downstream IT engineers to resolve cross-system issues and propose data flow optimization · Build and continuously enhance knowledge management and automation toolchains to improve L0/L1 self-service capabilities and incident resolution efficiency · Explore and implement innovative -driven operations use cases (e.g., intelligent diagnostics, root cause analysis, auto-remediation) to evolve towards autonomous operations
Profil recherché Leadership · Conscientiousness · Pédagogie · AWS Certified · Google Cloud Professional
Outils & compétences Core Operations & Maintenance, Troubleshooting, Rigueur

Le poste en détail

Description and Requirements 1. Core Operations & Maintenance Responsible for the operation and maintenance of Marketing & Sales readiness applications (Cost, Pricing, Account Service, etc.). Perform troubleshooting, rapid diagnosis, and resolution of user issues/incidents within SLA. Respond to and resolve user inquiries and service requests promptly. Monitor system health proactively to ensure stability and availability. 2. Technical Leadership & Process Optimization Act as the technical lead for assigned applications, with deep understanding of business processes and system architecture. Analyze complex single-system and cross-functional issues, providing effective solutions. Coach and mentor associate team members to deliver high-quality IT operational services. Collaborate with upstream and downstream IT engineers to resolve cross-system issues and propose data flow optimization. 3. Intelligent & Automated Operations(AIOps) Lead the design and implementation of intelligent operations, driving the adoption of automation and AI technologies (e.g., AIOps, Agents, RPA) to improve operational efficiency and service reliability Leverage operational data (logs, metrics, alerts) to identify system bottlenecks and optimization opportunities, enabling predictive operations and data-driven decision-making Collaborate closely with development teams under a DevOps model to ensure seamless transition from development to operations with strong operability and maintainability Build and continuously enhance knowledge management and automation toolchains to improve L0/L1 self-service capabilities and incident resolution efficiency Explore and implement innovative AI-driven operations use cases (e.g., intelligent diagnostics, root cause analysis, auto-remediation) to evolve towards autonomous operations 4. Global Collaboration & Continuous Improvement Partner with Product teams for initial technical analysis and troubleshooting. Participate in enhancement planning, sprint follow-ups, and early engagement in knowledge transfer (KT) and post-go-live support. Operate in a global environment, ensuring compliance with international best practices and fostering cross-regional collaboration.