Advertisement
Job Description:
Develop and validate server and hardware systems for customer-specific solutions.
Work with engineering teams to deliver system interfaces and testing processes.
Create Python scripts for validation and test automation.
Perform sensor polling, data parsing, and system diagnostics.
Validate server thermal architecture, sensors, fans, and airflow behavior.
Work with CPU, memory, storage, VRMs, BMC, and other server components.
Develop test fixtures, diagnostic programs, and troubleshooting procedures.
Support Redfish/IPMI-based server monitoring and control.
Prepare technical documentation for inspection and testing activities.
Contribute to high-quality customer-focused hardware solutions.
About Company:
Dell is a global technology company founded by Michael Dell in 1984 and headquartered in Round Rock, Texas, USA. The company provides a broad range of technology products and services, including PCs, servers, storage, networking, cloud infrastructure, cybersecurity, AI infrastructure, and IT services.
Dell Technologies focuses strongly on enterprise infrastructure and digital transformation, helping organizations modernize their IT environments and manage data from the edge to the cloud. Its portfolio has expanded significantly through major technology acquisitions, including the combination with EMC in 2016.
The company is also investing heavily in AI infrastructure, cloud technologies, automation, data management, and modern data centers. Dell launched its AI Factory with NVIDIA in 2024 to help enterprises adopt AI solutions.
Dell reported $95.6 billion in FY2025 revenue and invested $3.1 billion in R&D during FY2025. Its FY2025 fact sheet also reports that Dell served 97% of Fortune 500 companies.
Dell has a significant presence in India, including Bengaluru, where its India corporate address is listed at Embassy Golf Links Business Park.
For this Database Engineer Consultant role, Dell is particularly relevant because the position supports its enterprise infrastructure operations, including Oracle databases, cloud adoption, automation, AI/AIOps, high availability, disaster recovery, and database modernization.
