About this role
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 (https://www.lenovo.com), and read about the latest news via our StoryHub (https://news.lenovo.com/).
Key Responsibilities
1. Reliability, Performance & Capacity Management
- Own end-to-end service reliability, including availability, performance, and system stability
- Define and track reliability metrics (e.g., uptime, latency, error rates)
- Ensure SLA compliance through proactive monitoring and operational governance
- Monitor, tune, and optimise infrastructure and platform performance across compute, storage, network, and middleware layers
- Conduct capacity planning and forecasting to ensure scalability and resilience
- Identify and resolve infrastructure-level performance bottlenecks proactively
2. Monitoring & Observability
- Design and implement monitoring, logging, and alerting frameworks across application and infrastructure layers
- Define alert thresholds and reduce alert noise to improve signal quality
- Develop dashboards and reporting for real-time visibility of system health
- Continuously enhance observability coverage across services
- Implement and configure StackOps for application performance monitoring (APM) across enterprise applications
- Own the ongoing management and maintenance of StackOps, including agent deployment, upgrades, configuration baselines, and coverage assurance
3. Incident Management & RCA
- Lead major incident management (P1/P2) as incident commander
- Perform end-to-end root cause analysis (RCA) across application, infrastructure, and vendor domains
- Coordinate with internal Cloud Engineers and Application Vendors for issue resolution
- Drive preventive and corrective actions to reduce incident recurrence
4. Change & Patch Governance
- Assess operational risks associated with changes, releases, and patching activities
- Work with internal Cloud Engineers and Application Vendors to ensure safe execution of application patches and middleware changes
- Perform pre- and post-change validation to ensure system stability
- Govern Go/No-Go decisions and support rollback planning in case of service degradation
5. Automation, DevOps & CI/CD
- Drive automation of operational processes, including monitoring, recovery, and validation
- Implement self-healing and resilience mechanisms where applicable
- Develop and maintain operational runbooks and automation scripts
- Maintain and enhance CI/CD pipelines on SHIPHATS, including branching strategies, build and release workflows
- Develop and maintain Infrastructure as Code (IaC) using Terraform, integrated into CI/CD pipelines for consistent, auditable provisioning across environments
- Support onboarding of new applications and teams onto CI/CD pipelines, including pipeline templates and standards
- Enforce version control, peer review, and change traceability across operational scripts and pipeline configurations
6. Middleware Administration & Support
- Administer and support enterprise middleware platforms, ensuring availability, security, and supportability across environments
- Implement middleware configuration changes, patches, and version upgrades in coordination with, and with the support of, the application teams or application vendors
- Monitor middleware health and availability, and investigate operational issues jointly with the application teams
- Support application deployments, middleware upgrades, migrations, and disaster recovery activities
7. Collaboration & Governance
- Work closely with internal Cloud Engineers for execution of day-to-day operational activities
- Engage Application Vendors for application-related changes, including patches, middleware changes, and product-level defect resolution
- Ensure compliance with governance, security, and audit requirements
- Support service reviews, reporting, and continuous improvement initiatives
Requirements
Core Requirements
- Minimum 5 years of experience in Site Reliability Engineering, DevOps, or production operations in enterprise environments, including at least 4 years in public sector or regulated cloud environments
- Strong understanding of cloud platforms (preferably AWS)
- Experience with monitoring, observability, and application performance monitoring (APM) tools
- Strong troubleshooting capability across application and infrastructure layers
- Experience in incident management and root cause analysis
- Familiarity with ITIL processes (incident, problem, change management)
- DevOps experience with SHIPHATS, including maintaining CI/CD pipelines, branching strategies, pipeline onboarding, and Infrastructure as Code (IaC) using Terraform
- Experience with script lifecycle management and version control using GitLab
- Experience with automation and scripting (Python, PowerShell, etc.)
Preferred
- Experience in system integrator or managed services (Day 2 operations) environment
- Hands-on experience administering and supporting enterprise middleware platforms (e.g., Amazon EKS, IBM MQ, NGINX, RabbitMQ, MongoDB, Docker, API gateways, and .NET/Spring runtimes)
- Hands-on experience implementing and administering StackOps for application performance monitoring, with configurations built on open standards (e.g., OpenTelemetry)
- Experience operating in a Government Commercial Cloud (GCC) environment
- Knowledge of performance tuning and capacity planning
Key Competencies
- Strong analytical and problem-solving skills
- Ability to lead during high-pressure incidents
- Structured and governance-driven mindset
- Proactive approach to reliability and continuous improvement
- Strong stakeholder coordination across internal teams and vendors
Success Measures
- SLA compliance (availability, uptime, performance)
- Reduction in MTTR and incident recurrence
- Stability during patching and change activities
- Increased automation and reduced manual intervention
- Improved system performance and resilience