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Lenovo

Hybrid Cloud Solution Architect

Lenovo
Full-Time · On-site
5 - 10 years of experience

Job Requirements

On-site
5 - 10 years of experience

Job description for Hybrid Cloud Solution Architect at Lenovo

Key Responsibilities

Solution Architecture & Pre-Sales Leadership
Lead end-to-end solution architecture for Cloud Management and AI-Native Cloud Operations (AIOps)
Drive client discovery sessions to assess monitoring maturity, operational challenges, and cloud management gaps
Translate business and technical requirements into scalable architectures, solution blueprints, and outcome-driven proposals
Develop executive-level presentations, proposals, and solution narratives aligned to business value (e.g., SLA improvement, cost reduction, productivity gains)

Cloud Management & AI-Native Operations Design
Design end-to-end cloud management and operations platforms, including:
Observability (metrics, logs, traces)
Event intelligence (correlation, noise reduction)
AI-driven root cause analysis and anomaly detection
Automated incident detection, remediation, and self-healing

Enable L2/L3 autonomous operations through AI agents and advanced automation
Architect closed-loop operations integrating observability → event intelligence → automation → ITSM → continuous optimization
Support hybrid and multi-cloud environments with consistent governance and operational standards

FinOps & Cost Optimization
Design and implement FinOps frameworks across hybrid and multi-cloud environments
Provide end-to-end cost visibility, allocation, and optimization insights
Enable continuous cost-performance optimization through rightsizing, workload placement, and usage efficiency
Support budget governance, forecasting, and financial accountability models

Automation & Platform Integration
Design end-to-end automation strategies, including orchestration, runbooks, and AI-driven workflows

Integrate across enterprise systems, including:
Observability and monitoring platforms
ITSM and workflow tools
Cloud platforms and infrastructure layers

Ensure seamless data integration, execution consistency, and operational scalability

Cross-Functional Collaboration
Partner with product teams to shape AIOps/CloudOps capabilities and roadmap
Work closely with delivery teams to ensure successful deployment, adoption, and value realization
Build reusable solution assets, frameworks, and best practices to scale across regions and industries

Desired Skills & Experience
8+ years of experience in Cloud Management, AIOps, SRE, or IT Operations Transformation

Strong understanding of:
Observability (metrics, logs, traces)
Monitoring and event management platforms
ITSM processes (incident, problem, change)
CMDB and asset management

Experience with AIOps platforms or AI-driven operations solutions
Solid knowledge of FinOps practices and cloud cost optimization strategies
Hands-on experience in automation, orchestration, and workflow design
Familiarity with hybrid and multi-cloud architectures
Strong pre-sales and solutioning capability, with ability to link technical solutions to business outcomes

About the company
Lenovo
Lenovo

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Legitimate employers won’t ask for contact Telegram or any kind of top-ups or payment. Do not provide your messaging app contacts, bank details, or credit card information.

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Similar jobs for you
Lenovo

Hybrid Cloud Solution Architect

Lenovo
Full-Time · On-site
5 - 10 years of experience

Job Requirements

On-site
5 - 10 years of experience

Job description for Hybrid Cloud Solution Architect at Lenovo

Key Responsibilities

Solution Architecture & Pre-Sales Leadership
Lead end-to-end solution architecture for Cloud Management and AI-Native Cloud Operations (AIOps)
Drive client discovery sessions to assess monitoring maturity, operational challenges, and cloud management gaps
Translate business and technical requirements into scalable architectures, solution blueprints, and outcome-driven proposals
Develop executive-level presentations, proposals, and solution narratives aligned to business value (e.g., SLA improvement, cost reduction, productivity gains)

Cloud Management & AI-Native Operations Design
Design end-to-end cloud management and operations platforms, including:
Observability (metrics, logs, traces)
Event intelligence (correlation, noise reduction)
AI-driven root cause analysis and anomaly detection
Automated incident detection, remediation, and self-healing

Enable L2/L3 autonomous operations through AI agents and advanced automation
Architect closed-loop operations integrating observability → event intelligence → automation → ITSM → continuous optimization
Support hybrid and multi-cloud environments with consistent governance and operational standards

FinOps & Cost Optimization
Design and implement FinOps frameworks across hybrid and multi-cloud environments
Provide end-to-end cost visibility, allocation, and optimization insights
Enable continuous cost-performance optimization through rightsizing, workload placement, and usage efficiency
Support budget governance, forecasting, and financial accountability models

Automation & Platform Integration
Design end-to-end automation strategies, including orchestration, runbooks, and AI-driven workflows

Integrate across enterprise systems, including:
Observability and monitoring platforms
ITSM and workflow tools
Cloud platforms and infrastructure layers

Ensure seamless data integration, execution consistency, and operational scalability

Cross-Functional Collaboration
Partner with product teams to shape AIOps/CloudOps capabilities and roadmap
Work closely with delivery teams to ensure successful deployment, adoption, and value realization
Build reusable solution assets, frameworks, and best practices to scale across regions and industries

Desired Skills & Experience
8+ years of experience in Cloud Management, AIOps, SRE, or IT Operations Transformation

Strong understanding of:
Observability (metrics, logs, traces)
Monitoring and event management platforms
ITSM processes (incident, problem, change)
CMDB and asset management

Experience with AIOps platforms or AI-driven operations solutions
Solid knowledge of FinOps practices and cloud cost optimization strategies
Hands-on experience in automation, orchestration, and workflow design
Familiarity with hybrid and multi-cloud architectures
Strong pre-sales and solutioning capability, with ability to link technical solutions to business outcomes

About the company
Lenovo
Lenovo

Glints Safety Tips

Legitimate employers won’t ask for contact Telegram or any kind of top-ups or payment. Do not provide your messaging app contacts, bank details, or credit card information.

Learn More

Similar jobs for you

Hybrid Cloud Solution Architect

Lenovo