About the role

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

The Endpoint Data Security team designs, implements and enhances next-generation endpoint security products. Netskope Endpoint DLP extends the Netskope Cloud DLP solution to data in use on employees’ managed machines protecting it from loss and theft. It seamlessly extends all the advanced solution capabilities of Netskope Cloud DLP to corporate endpoints to consistently identify, monitor and protect sensitive data leaving such endpoints via USB.

What’s in it for you

Our SDETs have built Python automation tools to do functional, regression, security, performance and load/scale testing of our services and clients. If you love to write code to test, have aptitude to find ways to break things, understand how cloud services should work, and can build automation for day to day tasks that machines can run, we would love to speak with you about a role on our team. 

What you will be doing

• Working with a group of brilliant engineers to build service technologies that enable a holistic data security solution.
• Writing high-throughput code using the latest software development techniques. 
• Understanding requirement specs, researching/finding appropriate solutions, designing/implementing features with high quality ensuring reliability, sustainability, scalability, and observability.
• Working with Product Management to understand requirements.
• Writing and executing dev test routines for your modules.
• Working with QA to help them better test our product.

Required skills and experience

• 8+ years of experience in the field of SDET and a track record showing that you are highly motivated and capable of coming up with creative, innovative and working solutions in a collaborative environment.
• Strong Python programming skills.
• Experience in CI/CD using tools like Drone, Jenkins, or other similar technologies.
• Experience testing distributed systems.
• A proponent of Strong Quality Engineering methodology.
• Attention to detail with strong verbal and written communication skills.
• Strong knowledge of Windows and Mac systems.
• Comfortable with ambiguity and taking the initiative regarding issues and decisions.
• Proven ability to apply data structures and algorithms to practical problems.

Education

• BS Computer Science or equivalent required, MS Computer Science or equivalent strongly preferred

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