Sr. Staff Software Engineer, Data Platform - Real-Time Stream Processing

Main Location
Santa Clara, CA, United States
Open jobs
About Netskope

Today, there are more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security. 

Since 2012, we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara, San Francisco, Seattle, Bangalore, London, Melbourne, and Tokyo. Our core values are openness, honesty, and transparency, and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships, collaboration, and teamwork. From catered lunches and office celebrations to employee recognition events (pre and hopefully post-Covid) and social professional groups such as the Awesome Women of Netskope (AWON), we strive to keep work fun, supportive and interactive.  Visit us at Netskope Careers and follow us on Twitter @Netskope and Facebook. 

Sr. Staff Software Engineer, Data Platform - Real-Time Stream Processing

About the Role

Please note, this team is hiring across Staff Engineer, Sr. Staff Engineer and Principal Engineer levels and all candidates are individually assessed and appropriately leveled based upon their skills and experience.

The Data Platform team is uniquely positioned at the intersection of security, big data and cloud computing and is responsible for providing ultra low-latency access to global security insights and intelligence data to our customers and enabling them to act in near real-time. We leverage open source messaging & stream processing engines (Kafka, Flink, Spark) to build robust pipelines connecting various sources to sinks (Mongo, BigQuery etc) and RESTful APIs for programmatic access to data.

We’re looking for a seasoned engineer to help us build the next generation data pipelines to provide near real-time ingestion of security insights and intelligence data. You have experience in architecting highly scalable data pipelines and proficiency with solving real-time stream processing challenges. In this role, you’ll partner with industry experts in security and bigdata, product and engineering teams to conceptualize, design and build innovative solutions for hard problems on behalf of our customers. 

You’ll not only evaluate open source technologies to find the best fit for our needs but also contribute to some of them. You’ll help other teams architect their systems on top of the data platform and influence their system design. This is a great opportunity to work with smart people in a fun and collaborative environment.


  • You have several years of server-side software development experience
  • You have deep knowledge in concurrency and scaling distributed systems
  • You have experience building real-time stream processing systems using engines like Flink, Spark or similar
  • You have experience with distributed datastores like Druid, Mongo, Cassandra, BigQuery or similar
  • You are passionate about the product, are self-driven and an excellent communicator

Required skills

  • 6+ years of industry experience building highly scalable distributed Data systems
  • Programming experience in Python, Java or Golang
  • Experience in architecting and delivering highly scalable, fault-tolerant data pipelines using messaging engines like Kafka


  • BSCS or equivalent required, MSCS or equivalent strongly preferred

Bonus Points:

  • Having worked in Security industry and data space
  • Contributed to open source projects




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Sr. Staff Software Engineer, Data Platform - Real-Time Stream Processing