IT Operation Engineer

Why Work at Lenovo

We are Lenovo. We do what we say. We own what we do. We WOW our customers. 

Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). 

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.

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.