Zscaler is one of the most exciting technology companies around, and one of the top IPO candidates for 2015. Our mission is simple -
it is to revolutionize Internet security through the magic of cloud computing. We are the leading, most innovative firm in a $35 billion market -
security and our passion is to bring cloud computing to Internet security just like Salesforce.com did to CRM. More than 5,000 organizations around the world are already using Zscaler -
including amazing brands like General Electric, Nestle, NBC, and NATO - and more than 12 million people across more than 185 countries are protected by our systems every single day.
We are a well-funded, late stage pre-IPO Software as a Service company and are growing extremely fast, which means incredible career and growth opportunities for passionate and talented people that are ambitious and driven to be the best.
We’ll offer you an opportunity to make a difference, and you will get to work in a fun, fast paced environment where you can excel at what you do and create.
Zscaler’s emerging technology team is working on revolutionary new products. This is an excellent opportunity to join a small, dynamic team that is charting new ground in cloud security technology.
As a Staff Software Engineer, you will work on building the next
generation Microservices for our Zscaler Private Access (ZPA)
product. The Zscaler Private Access (ZPA) service enables
organizations to provide access to internal applications and
services while ensuring the security of their networks.
ZPA is an easier to deploy, more cost-effective, and more secure alternative
to VPNs. Unlike VPNs, which require users to connect to your
network to access your enterprise applications, ZPA allows you to
give users policy-based secure access only to the internal apps
they need to get their work done. With ZPA, application access
does not require network access.
As a Staff Software Engineer, you will play a crucial role in
designing, creating, and enhancing multi-tenant systems capable of
loading and transforming a large volume of structured and semi-
structured fast moving data.
Highly Desirable :