IT Operation Engineer

Lenovo; Selangor; On-site; MYR 100,000 - 150,000; Full time

Job summary

Lenovo is seeking an experienced IT Operations Lead to manage and optimize reliability for Marketing & Sales readiness systems in a global, DevOps-enabled environment.

You will drive intelligent operations, coach engineers, and partner with Product teams to ensure seamless incident resolution and continuous improvement across regions.

Responsibilities

• Operation and maintenance of Marketing & Sales readiness apps (Cost, Pricing, Account Service, etc.).
• Troubleshoot, diagnose, and resolve user issues within SLA.
• Respond to user inquiries and service requests promptly.
• Monitor system health to ensure stability and availability.
• Act as technical lead for assigned applications; understand business processes and architecture.
• Analyze complex issues and provide effective solutions.
• Coach and mentor associates to deliver high-quality IT services.
• Collaborate with upstream and downstream IT engineers to resolve cross-system issues and optimize data flow.
• Design and implement intelligent operations; drive automation and AI use cases.
• Leverage logs and metrics to identify bottlenecks and enable predictive operations.
• Collaborate with DevOps teams to ensure smooth transition from development to operations.
• Build knowledge management and automation toolchains for self-service and faster incident resolution.
• Foster autonomous operations with AI-driven diagnostics and auto-remediation.
• Partner with Product teams for technical analysis; contribute to KT and post-go-live support.
• Operate in a global environment, adhering to international best practices and cross-regional collaboration.

Job description

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).

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.