Sr. Software Development Engineer in Test , Performance QE

Job description

Join the Future of Security at Netskope Netskope (NASDAQ: NTSK) is a leader in modern security and networking for the cloud and AI era. We secure and accelerate cloud, data, and AI in real time, everywhere. Thousands of customers, including more than 30 of the Fortune 100, trust the Netskope One platform, its Zero Trust Engine, and the powerful NewEdge network to gain full visibility and control without performance trade-offs. At Netskope, our technology is driven by our greatest strength: our people. We believe that belonging powers innovation, and success is both personal and organizational. We embrace differences in gender, ethnicity, beliefs, ability, and identity, creating an environment where every voice is heard and respected. We empower our employees to bring their authentic selves to work, grow their careers through continuous education and mentorship, and lead with transparency and curiosity. Join a team where you belong, where you are encouraged to be an entrepreneur, and where together, we continue to redefine the landscape of security. Visit us at netskope.com to learn more. Follow us on linkedin.com/company/netskope and instagram.com/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 Performance QE team is responsible for the system level performance of a wide range of Netskope products. Expose performance issues not manifested and/or not existed on component level. We are seeking a highly skilled and motivated Performance Test Engineer to join us. The ideal candidate will have deep expertise in performance testing methodologies, tools, and analysis to identify and resolve critical bottlenecks before they impact our customers. What's in it for you Your core mission is to guarantee the capacity, reliability, and low latency of our applications, maintaining high availability at massive scale. You will thrive here if you are dedicated to partnering with teams to ship high-quality software that is fast and scalable. You will approach QE by consistently balancing customer needs with a holistic view of the entire system architecture. What you will be doing • Design and Strategy: Develop comprehensive performance test strategies and plans (including load, stress, volume, and endurance tests) • Scripting and Execution: Design, develop, and maintain robust, reusable test scripts using industry-standard tools for various protocols (e.g., HTTP, Web Services, APIs, FTP/SFTP). • Environment Management: Collaborate with DevOps and infrastructure teams to configure and maintain performance test environments that accurately replicate production conditions. • Load Generation: Design and deploy containerized load generators (JMeter, k6, Locust containers) directly onto the Kubernetes cluster to simulate massive scale with minimal overhead. • Monitoring and Analysis: Execute performance tests and conduct deep-dive analysis of results, leveraging monitoring tools to identify system bottlenecks in application code, database performance, network latency, and infrastructure (CPU, memory, I/O). • Reporting and Collaboration: Document clear, concise reports summarizing test results, metrics, and actionable recommendations. Communicate findings to engineering and product stakeholders. • Optimization: Work closely with software developers and architects to provide recommendations for performance tuning and code optimization. • Process Improvement: Stay current with industry trends, tools, and best practices in performance engineering and contribute to the continuous improvement of the testing framework and processes. Required skills and experience • Experience: Minimum 8 years of experience in Performance Testing/Engineering roles with scalable cloud native multi-tenant architectures • Tool Proficiency: Proven expertise with at least one major performance testing tool (e.g., JMeter, Locust, LoadRunner, Gatling, k6, BlazeMeter). • Scripting/Coding: Strong proficiency in at least one scripting or programming language (e.g., Java, Python, Golang, JavaScript) for test script development and customization. • Containerization & Orchestration: Hands-on experience with Docker and Kubernetes (K8s) for containerizing applications and understanding how container resource limits affect application performance. • System Knowledge: Solid understanding of system architecture components, including web servers, application servers, databases, and load balancers. • Monitoring/AI Tools: Experience with modern APM/Monitoring tools that incorporate AI/ML capabilities (e.g., Dynatrace, New Relic, Prometheus, Grafana, DataDog, or custom AI solutions) for in-depth analysis. • Database: Working knowledge of SQL/NoSQL databases and the ability to analyze and optimize database query performance. • Data Analysis: Strong analytical skills with the ability to interpret large datasets and AI-generated outputs (e.g., log traces, metrics) to pinpoint root