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Cloud Infrastructure Manager

Job in Dearborn, Wayne County, Michigan, 48120, USA
Listing for: Ford Energy
Full Time position
Listed on 2026-10-15
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, Disaster Recovery IT, SRE/Site Reliability, IT Infrastructure
Salary/Wage Range or Industry Benchmark: 133000 - 251000 USD Yearly USD 133000.00 251000.00 YEAR
Job Description & How to Apply Below
Position: Cloud Infrastructure Manager, Ford Energy
Job Description

The Cloud Infrastructure Manager – Ford Energy will lead the execution, engineering, and day-to-day operational excellence of our multi-cloud environment and enterprise hosting platforms supporting Ford Energy initiatives. In this leadership role, you will have direct ownership of our cloud strategy execution—specifically focusing on Microsoft Azure, Google Cloud Platform (GCP), and mission-critical SAP S/4

HANA cloud infrastructure powering next-generation energy, battery, and electrification supply chain systems. Reporting to the Head of IT Infrastructure & Operations, this position plays a vital role in ensuring our enterprise cloud footprints remain secure, highly resilient, cost-effective, and fully optimized to support high-performance computing, manufacturing integration, and green energy operations. You will partner closely with Enterprise Architecture, Information Security, SAP/ERP teams, and strategic partners to bridge strategy with tactical execution.

Key Responsibilities
  • What You’ll Own
  • Multi-Cloud Architecture & Operations:
    Lead the engineering, delivery, lifecycle management, and operational support across Azure and GCP environments tailored for Ford Energy platforms, ensuring optimal performance, scalability, and high availability.
  • SAP S/4

    HANA Cloud

    Infrastructure: Oversee the technical foundation, stability, disaster recovery, and high-performance hosting requirements for enterprise SAP S/4

    HANA workloads supporting energy and supply chain management.
  • Cloud Modernization & Automation:
    Drive initiatives focused on cloud optimization, workload migrations, automation, infrastructure-as-code (IaC), and continuous improvement of cloud services tailored to manufacturing and energy demands.
  • Governance & Cost Management:
    Implement robust Fin Ops practices to monitor cloud consumption, optimize spending, and enforce resource governance across Azure and GCP.
  • Reliability & Resilience:
    Own availability, capacity planning, backup/recovery strategies, business continuity, and major incident resolution for all cloud-hosted energy platforms.
  • Vendor & Partner

    Collaboration:

    Guide managed service providers (MSPs) and cloud platform account teams to ensure service level agreements (SLAs), operational hygiene, and accountability.
  • Compliance & Security:
    Partner with Information Security and corporate governance teams to maintain strict security baselines, access controls, and audit readiness within a secure corporate environment.
  • Operations Experience
  • 24/7 Production Operations & Reliability:
    Proven leadership in managing large-scale, mission-critical cloud production environments with strict uptime SLAs, ensuring continuous operational stability for global manufacturing and energy systems.
  • Incident, Problem & Change Management:
    Direct experience establishing and running operational frameworks (ITIL-based) for major incident response, root cause analysis (RCA), proactive problem management, and change governance to minimize deployment risk.
  • Monitoring, Observability & Telemetry:
    Hands‑on oversight of enterprise monitoring, logging, and performance tooling (e.g., Prometheus, Grafana, Datadog) to ensure early detection and proactive remediation of infrastructure bottlenecks.
  • Patch Management & Lifecycle Hygiene:
    Drive systematic, automated patching schedules, vulnerability remediation cycles, and hardware/software end‑of‑life tracking across cloud and hybrid environments.
  • Blended-Model Operations:
    Experience managing a matrixed operations model spanning internal engineering teams, third‑party managed service providers (MSPs), and global vendor support lines to maintain accountability and fast mean‑time‑to‑resolution (MTTR).
  • What Success Looks Like
  • Azure and GCP environments supporting Ford…
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