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Java Developer - IT Operation Support Engineer

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Onsite

Java Developer - IT Operation Support Engineer

Lenovo Group Limited

Java Developer - IT Operation Support Engineer

Skills

JavaKnowledge ManagementAICompliance

2 months ago

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Important information


Contract type:

Permanent

Salary:

MYR 57,000 – MYR 84,000 / year

Location:

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Work mode:

Onsite

Published on:

19 August 2026

What they need


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.

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