Software Engineer - Backend Analytics
Engineering | San Jose, CA, United States


 
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.

We are looking for a talented, high-energy team player to be part of our backend core engineering team developing Zscaler’s big data analytics platform. Each day Zscaler’s Cloud processes over 10 billion transactions with near-zero latency to instantly secure over 10 million users in 180+ countries. All transactions are logged in a compressed and indexed format and are available for real time reporting and analytics. The ideal candidate must enjoy tackling hard technical problems and have a passion for programming. 
 

Requirements:
 
  • BS/MS degree  (Engineering, Computer Science)
  • Strong C/Unix programming skills for high-performance systems
  • Strong analytical and algorithm design skills
  • Good understanding of distributed/parallel computing
  • Good experience with design and development of a database storage subsystem, parallel query processing, query optimization and reliability features
 
Desirable:
 
  • Experience in in-memory database with multi-core optimization
  • Experience with LLVM compilation
  • Experience with database kernel




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