Today, there's 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, St. Louis, Bangalore, London, Melbourne, Taipei, 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. Please follow us on LinkedIn and Twitter@Netskope.
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 Data QE team is responsible for the quality of data, data services, and data components across our cloud and hybrid cloud environments. We develop tools, create fully automated regression suites and conduct performance tests for distributed data components at cloud scale. If you thrive on solving difficult problems, complex test scenarios, and developing high-performance QE tooling and automation, we would love to discuss our career opportunities with you.
What’s in it for you
Performance engineering team is responsible for optimizing the performance and efficiency of software applications, systems, and infrastructure. They play a critical role in ensuring that applications can handle the scale and the systems provide a seamless user experience. By conducting performance testing, analysis, and optimization, they contribute to the overall success and reliability of software systems.
What you will be doing
Plan, design, and execute performance tests to assess the performance characteristics of software applications and systems. This includes load testing, stress testing and scalability testing. Analyze the results of performance tests and identify performance bottlenecks, such as slow response times, high CPU or memory usage, database issues, or network latency Collaborate with software developers to implement performance improvements. This may involve code optimization, database tuning, caching strategies, and system configuration changes. Prepare and present performance analysis reports to stakeholders, providing actionable insights and recommendations for performance enhancements. Assess application and system capacity to ensure they can handle the expected user load and growth. Work with the team to plan for future scaling needs. Develop and promote performance testing standards, best practices, and guidelines to be followed by the development and QE teams. Develop and maintain automated performance test scripts and frameworks to streamline the performance testing process. Participate in design reviews and architectural discussions to identify potential performance issues early in the development process. Stay up-to-date with the latest industry trends, tools, and methodologies related to performance engineering. Continuously seek out innovative ways to improve application performance.Required skills and experience
Experience of 12+ years with performance testing. Bachelor's degree in Computer Science, Software Engineering, or a related field. A Master's degree may be preferred. Strong understanding of software development principles, data structures, algorithms, and database technologies. Proficiency in performance testing tools such as JMeter, LoadRunner. Experience with programming languages like Java, Python, Go, or others, to create and analyze performance test scripts. Understanding of cloud-based services and infrastructure, such as AWS, Azure, or Google Cloud. Excellent analytical and problem-solving skills to identify and resolve performance issues effectively. Strong communication and collaboration skills to work with cross-functional teams. Attention to detail and the ability to work in a fast-paced environment.Education
BSCS or equivalent required, MSCS or equivalent strongly preferred#LI-JB3
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