In the Cluster Delivery Organization, Business Specialists, Business Experts, Engineer Specialists, Engineers, and Product Owners work together in a team. Agile methods help employees perform their functions by enabling a fast and flexible response to changing conditions and customer needs through an iterative approach and continuous development of new solutions.
This job is for an End-to-End Database Infrastructure Engineer for Linux systems used by database’s IT infrastructure, including the development and implementation of digital strategies, OS image Automation ( Ansible / Service Broker/Terraform /CICD, RHEL-AAP,etc) for On-Premise or Cloud IaaS platform deployments, OS product lifecycle management, version Control, infrastructure operation and maintenance, security compliance and continuous optimization of Automation processes and systems aligned with regulatory and quality standards;
The engineer has profound orientation in Linux operating systems, infrastructure components and tools needed to run databases and acts in the role of the Cell Member together with Database administration cells.
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WD is building the infrastructure behind the AI-driven data economy.
As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s where we come in.
We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide.
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Conduct electrical and physical failure analysis, covering up to 1st die level analysis.
Familiar with failure analysis tools and techniques such as SEM, EDX, curve trace, thermal hotspot analysis, X-ray, bench test, laser & chemical decapsulation, mechanical cross-section, die-level delayering and microprobing.
Continuous Improvement: Actively participate in both technical optimization tasks and non-technical structural initiatives, including contributing to Lean Six Sigma projects to reduce waste and maximize line efficiency.
Communication & Soft Skills: Strong interpersonal and verbal skills; ability to provide clear, accurate status updates regarding equipment state and repairs to supervisors and cross-functional team members.
Provide SAP Basis support on S/4HANA transition projects, including the design, planning, and execution of technical conversion.
Analyze, plan, and deliver SAP Basis support for various technical and business projects, ensuring high-quality and timely execution.
Design, enhance, and maintain SAP system architectures across on‑premise, SAP private cloud, and hybrid cloud landscapes to meet performance, scalability, and compliance requirements.
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WD is building the infrastructure behind the AI-driven data economy.
As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s where we come in.
We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide.
...
WD is building the infrastructure behind the AI-driven data economy.
As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s where we come in.
We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide.
...
Lead time and motion studies, establish standard times, and drive cycle time reduction initiatives across production lines.
Perform advanced line balancing, manpower optimization, and resource planning to maximize throughput and minimize waste.
Develop, maintain, and enhance capacity models to support strategic production planning, capital expenditure justification, and long-term site roadmaps.
...
WD is building the infrastructure behind the AI-driven data economy.
As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s where we come in.
We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide.
...