About CloudBrain Training
CloudBrain Training designs and implements customized technology and management training solutions for global organizations. CloudBrain has partnerships with highly successful financial service firms, technology, and international companies providing enterprise-wide training solutions.
Full Description
CloudBrain has a branch of operations solely focused on designing and delivering custom new-hire training and enterprise-wide program initiatives for global investment banks, financial service firms, and medium and large-sized organizations. These programs are designed to upskill employees and provide organizations with a technologically diverse and skilled workforce required to support a myriad of job functions within an enterprise. Virtual and onsite programs are taught internationally; CloudBrain has designed and delivered programs throughout the US, EMEA, and APAC.
Working with CloudBrain, you will help shape the future of businesses of all sizes using Cloud technologies to connect with customers, employees, and partners.
CloudBrain works with training partners who deliver AWS, Google Cloud, and Microsoft Azure product and solution training around the world.
As a Technical Trainer on the CloudBrain team, you will deliver training to strategic and/or confidential customers/partners. You will participate in training planning conversations with strategic customers/partners and work on tailoring content for those audiences as required. You will deliver hands-on intensive training, ranging from 1-day classes to multi-week certification programs. The training will be delivered in person and/or virtually.
Regions: United States, Canada, Latin America, EMEA, India, APAC
Languages: English, Spanish, German, Portuguese, Italian, French, Swedish
Minimum Requirements
- Degree in Computer Science, Information Technology, or related field or equivalent practical experience
- Experience teaching technology and public speaking
- Experience architecting and deploying systems to the public cloud (Google Cloud, AWS, Azure)
- Travel up to 50% of the time globally, as required
Preferred Qualifications
- Google Cloud Professional Data Engineer and/or Google Cloud Professional Architect certifications
- Understanding of virtualization and containers (Docker, Kubernetes, microservices)
- Experience with database and big data technologies (SQL, Hadoop, Spark, etc.)
- Knowledge of Machine Learning
- Programming experience
- Current AWS and/or Azure certifications
