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.

At Netskope, our world-class Solutions QE organization is a team of engineers who love to write code for solutions tests, have the 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. Our SDETs have built Python script automation tools to do solutions testing of our services and clients. Your contribution will test software that large Fortune 500 enterprises will use and rely upon every day.

What’s in it for you

This is a cross development role that conceives of and drives company-wide Solutions QE strategies that ensure best of breed solutions test and QE behavior across the company. If you are an SDET with hands-on experience testing complex cloud and on-prem solutions for the enterprise and you would like to raise the bar with state-of-the-art solutions test automation and infrastructure, we would like to hear from you.

What you will be doing

• Develop expertise in our cloud security solutions, and use that expertise and your experience to help design and qualify the solution as a whole
• Contribute to building a flexible and scalable automation solution
• Help create and implement quality processes and requirements
• Work closely with the team to replicate customer environments
• Automate complex test suites
• Develop test libraries and coordinate adoption
• Identify and communicate risks about our releases.
• Be able to own and make quality decisions for the solution.
• Own the release and be a customer advocate.

Required skills and experience

• 5+ 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 knowledge of Python or other programming language (Go a plus)
• Knowledge of Jenkins, Hudson, or any other CI systems.
• Experience testing distributed systems
• Proven ability to apply data structures and algorithms to practical problems.
• A proponent of Strong Quality Engineering methodology.
• Strong knowledge of linux systems, Docker, k8s
• Experience building automation frameworks
• Knowledge of network security, authentication and authorization.
• Comfortable with ambiguity and taking the initiative regarding issues and decisions

Education

• BSCS or equivalent required, MSCS or equivalent strongly preferred