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, Paris, 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 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.
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, motivated and seasoned Performance Test Engineer / Lead 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.
Job Summary / What's in it for youYour 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.
Key Responsibilities / What you will be doing- Be a technical leader, mentor and inspiration to the team, fostering a culture of ownership, trust, innovation and continuous improvement
- Build the strategic technical direction and overall designs for the team
- Collaborate across business, engineering and support organizations to ensure execution of a shared vision, roadmap and timely delivery of products/services
- Contributor in technical discussions, designs and code development
- Be a proponent of a Customer-First approach
- Be a vocal owner of the services/products you work on while focusing on performance, availability, scalability and resiliency.
- Design and Strategy: Develop comprehensive performance test strategies and plans (including load, stress, volume, and endurance tests) by analyzing non-functional requirements and system architecture.
- 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).
- 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.
- Experience: a seasoned leader with a minimum of 15 years of hands-on experience in Performance Testing/Engineering, focusing on scalable, cloud-native multi-tenant architectures.
- Container and Orchestration: Expert-level, hands-on experience with Docker and Kubernetes (K8s), including the ability to configure, monitor (Pods, Deployments), and analyze resource consumption to drive container performance optimization.
- Advanced Tooling: Proven expertise with major performance testing tools (JMeter, k6, Gatling, or LoadRunner) and strong proficiency in a relevant programming language (Java, Python, or Golang) for advanced scripting and framework development.
- Data and Database: Expert working knowledge of SQL/NoSQL databases and deep skill in analyzing and optimizing complex database query performance.
- System Architecture: Solid, end-to-end understanding of modern distributed system components, including microservices, load balancers, messaging queues, and various web/application servers.
- AI-Driven Monitoring: Expert experience with modern APM and monitoring platforms (Dynatrace, New Relic, DataDog, Prometheus/Grafana) that incorporate AI/ML capabilities for real-time anomaly detection and deep root cause analysis.
- Data Analytics: Exceptional analytical skills with the ability to swiftly interpret massive datasets and AI-generated performance outputs (log traces, predictive models, metrics).
- Foundational Knowledge (Preferred): Familiarity with Machine Learning concepts (e.g., predictive modeling) and how they apply to forecasting and continuous performance tuning is a significant advantage.
- Strategic Balancing: Demonstrable experience successfully balancing competing business priorities against engineering requirements, serving as a trusted advisor.
- Geographic Collaboration: Extensive experience contributing in a large, geographically distributed environment across multiple time zones.
- Navigating Ambiguity: Highly comfortable with ambiguity and consistently takes the initiative to identify and solve complex, undefined problems independently.
- Influence and Trust: Possess a high Emotional Quotient (EQ), maintain confidence under pressure, win the trust of peers, and negotiate skillfully to drive consensus on performance goals.
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