Staff Quality Performance Engineer

6 - 7 years

4 - 8 Lacs

Posted:-1 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • We are seeking an experienced Performance Engineer with a proven ability to develop innovative tools and technologies for validating the performance and scalability of large-scale enterprise systems. As a key member of our Product Performance Engineering team, you will lead benchmarking and testing efforts to ensure our products meet the evolving needs of our largest customers.
  • You will design and execute comprehensive performance testing strategies, develop advanced mock testing frameworks to simulate real-world workloads, and integrate AI-powered tools to enhance testing automation, operational efficiency, and decision-making. Your work will involve close collaboration with architecture, development, and DevOps teams to identify and resolve performance bottlenecks through root cause analysis and data-driven insights.
  • Passionate about automation, you will build and apply frameworks that measure complex system behaviors under dynamic loads. Working in a fast-paced, innovative environment, you will drive continuous improvements in testing methodologies, ensuring reliability, scalability, and quality of service for mission-critical applications.

    • Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI s potential impact on the function or industry.
    • Deep knowledge and hands-on experience with AI technologies, including assessing the performance, tuning, and scaling of AI-driven products.
    • 6+ years of experience in performance engineering/testing of large-scale, cloud-native applications running on container platforms across multiple production environments.
    • Proven expertise in benchmarking system and database performance, capacity sizing, tuning, and optimization.
    • Strong hands-on experience designing and developing mock testing frameworks and automation tools.
    • Experience integrating performance testing into CI/CD pipelines with DevOps practices.
    • Proficient in advanced load testing tools such as JMeter, BlazeMeter, or equivalents, with expertise in scripting and workload modeling.
    • Skilled in database performance engineering (tuning, query analysis, scaling), Java/JVM performance tuning, OS performance monitoring, and system architecture.
    • Experience with Big Data analytics, network monitoring, Splunk, WebPageTest, and other innovative tools; adept at leveraging AI advancements to streamline processes and enhance performance monitoring.
    • Familiarity with AI/ML system performance testing, with a focus on evaluating scalability, responsiveness, and efficiency of AI-enabled applications and machine learning models.
    • Solid understanding of concurrency, multithreading, and distributed system architectures.
    • Deep knowledge and expertise in architectural-level performance tuning and recommendations.
    • Strong analytical and problem-solving skills with a passion for learning new technologies.
    • Excellent communication, collaboration, time management, and interpersonal skills.
    • BS/MS degree in Computer Science or a related technical discipline.

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