Cloudian Named a Best Place to Work by San Francisco Business Times and Silicon Valley Business Journal
Company recognized for strong culture, employee growth, and work-life balance
San Mateo, Calif. – April 20, 2018 – Cloudian, the innovation leader in enterprise object storage systems, today announced it has been named a Best Place to Work in the Bay Area by the San Francisco Business Times and Silicon Valley Business Journal. The company was recognized for its strong culture, leadership, commitment to employee growth and emphasis on work-life balance.
“At Cloudian, we understand that the success of our company depends on our people. That’s why we’re committed to investing as much in our team as we do our technology,” said Michael Tso, CEO, Cloudian. “This award reflects the work we’ve done to make Cloudian an open and exciting place to work that provides its staff opportunities rarely found elsewhere. We’re excited to continue adding more great people to our team.”
Cloudian was chosen from a pool of over 500 applicants. The company was honored at an awards celebration at the Hilton Union Square in San Francisco.
Best Places to Work is an annual publication and awards program produced by the San Francisco Business Times and the Silicon Valley Business Journal. The rankings were determined by surveys that went directly to employees who answered a series of questions. The survey was administered online by the employers and through a service provided by Quantum Workplace. The rankings are numeric based on Quantum’s scoring process.
You can learn more about working for Cloudian here.
Cloudian turns information into insight with an infinitely scalable platform that consolidates, manages and protects enterprise data. Cloudian data management solutions bring cloud technology and economics to the data center with uncompromising data durability, intuitive management tools, and the industry’s most compatible S3 API. Cloudian and its ecosystem partners help Global 1000 customers simplify unstructured data management today, while preparing for the data demands of AI and machine learning tomorrow.