2171 Sr Virtualization And Cloud Engineer jobs in Los Angeles,CA

Minimum three years of recent experience in IT infrastructure technology management and architecture including IaaS/PaaS/DevOps cloud transformation programs and infrastructure automation, prior system/storage; admin/engineering experience and consulting experience; four years of cloud strategy, migration, and transformation leadership including cloud services (IaaS/PaaS) implementation & migration, including Azure or AWS
Bachelor's degree in Computer Sciences from an accredited college/university, past or current certifications (e.g. Microsoft, AWS, Cisco, Azure, VMware) is preferred
Technology experience, including IaaS/PaaS (Azure, Amazon Web Service, CMDB, CSDM, GCP), infrastructure automation/orchestration technologies (e.g. Chef, Puppet, BladeLogic), server, storage, high availability architecture and infrastructure transformation from strategy to design and implementation; Terraform highly preferred
Additional desirable experience in infrastructure automation and instrumentation (Unix Admin, Scripting / Programming Capabilities, SDLC Process Knowledge), Unified Communications, Collaboration, Database/application server architecture, network, information security, GenAI, RAG
Ability to travel as needed
Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

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New, Posted 21 hours ago

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Sr. Data Analyst

InterDent

El Segundo, CA 90245

~ 23 min Onsite

Education: Bachelor's degree in Data Science, Business Analytics, Finance, or a related field.
Experience: 5+ years of experience in business intelligence, financial analysis, or data analytics, preferably in healthcare, dental, or multi-site organizations.
Advanced SQL skills for querying and analyzing large datasets.
Proficiency in BI tools , with a strong preference toward Power BI or similar.
Familiarity with marketing attribution, mid funnel metrics, financial modeling, forecasting, and scenario analysis.
Vendor Management: Have experience working or directing third party vendors to drive development or analysis.
Business Analysis: Required business analysis skillset to QA and validate datasets and insights to build sustainable and replicatable analysis.

SmartExplore AI is experimental.