Architects and consults on cloud engineering and platform solutions. The role requires expertise across PaaS, Oracle Cloud development and integration, cloud storage, ETL tools, commerce platforms, cloud management tools, OpenStack, CloudHub/Mule, CloudForms, and related enterprise cloud technologies.
Principal Architect, Cloud Engineering
Primary Skills
- PaaS - Oracle Integration Cloud, Cloud Health, Cloudlets, Powershell, Oracle Cloud Development (API, Data, Integration), Adobe Creative Cloud, Demandware / Commerce Cloud, Cloudcheckr, CloudHub/Mule, Open Stack, Informatica & ETL Tools, CloudForms, Cloud Storage
Specialization
- Cloud Platform consulting: Architect, Cloud Engineering
Brillio Santa Clara, California, USA Office
Santa Clara, CA, United States
Brillio San Ramon, California, USA Office
6111 Bollinger Canyon Rd, San Ramon, CA, United States, 94583
Similar Jobs
Events • Food • Travel • Hospitality • Hotels & Resorts
Leads platform enhancements and enterprise technology programs by translating workflows, APIs, diagrams, and business needs into technical requirements and deliverable solutions. Manages refinement backlogs, prioritizes requirements, monitors roadmaps, identifies risks, and coordinates product owners, designers, engineers, testers, and architecture teams in an agile environment. Also mentors business analysts and delivers release notes and product reviews.
Top Skills:
AgileFigmaJIRAJSONRest ApisSwaggerYaml
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Own and grow a strategic global OEM account by executing account plans, building senior customer relationships, managing multi-product pipelines, forecasting accurately, achieving revenue and margin goals, identifying strategic opportunities, and representing customer needs internally. The role requires cross-functional influence, global account management, technical sales expertise, CRM discipline, and proficiency with Microsoft Office and Salesforce.
Top Skills:
Artificial Intelligence ToolsMS OfficeSalesforce
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Own technical requirements and customer-driven product definition for Micron data center SSDs. Collaborate with engineering, customers, and cross-functional teams to evaluate specifications, competitive gaps, technical trade-offs, market trends, and product features. Present in design and technical reviews, support OEM and hyperscale engagements, resolve customer issues, maintain lifecycle-management data, and lead small technical projects. Apply AI tools to improve requirements analysis and documentation. The role requires storage or semiconductor experience and strong customer-facing technical communication.
Top Skills:
Agentic AiAsicDramFirmwareHddLlm-Based AiNandNvmeOcp Datacenter Nvme SsdPcieProduct Lifecycle Management (Plm)Requirements Management ToolsSsd
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
