Staff Performance Engineer, Agentic AI

8 - 13 years

25 - 30 Lacs

Posted:-1 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

About the Role

Senior Quality Engineer

comprehensive end-to-end performance validation

What s In It For You

We are a globally distributed team of engineers who have a passion for learning new skills and building great products. If you thrive in a fast-paced startup environment with a collaborative team of backend and QA engineers and are passionate about building highly performant and stable products, we want to meet with you!

What You Will Be Doing:

and non-functional requirements (NFRs)

Performance Engineering & Scalability:

  • Develop, implement, and maintain dedicated load, stress, and endurance testing frameworks

    using industry-standard tools (e.g., JMeter, Locust, k6).
  • Define and track

    Service Level Objectives (SLOs)

    and performance metrics (latency, throughput, memory consumption) for critical backend services and data pipelines.
  • Collaborate with SRE and backend teams to

    identify and profile performance bottlenecks

    in code, database queries, and cloud infrastructure.
  • Develop and maintain robust automation frameworks. Youll expand our UI testing with Playwright and build out our API and backend testing capabilities to ensure full coverage.
  • Test across complex environments, including onboarding cloud accounts (AWS, Azure, GCP), interacting with various data stores and lakes, and validating on-premise integrations.
  • Validate critical background jobs, such as data scans, classification, and alert generation,

    ensuring they are accurate and performant at scale under heavy load.

  • Own and evolve our regression and smoke testing suites to ensure release readiness and maintain product stability.
  • Act as a quality champion, partnering with the development team to improve test coverage by identifying needs for better unit and integration tests.
  • Develop strategies to manage testing across a wide variety of data store versions and types, ensuring our product remains compatible and reliable.
  • Handle customer escalations, perform root cause analysis, and drive issues to resolution from a quality engineering perspective, focusing particularly on

    production performance incidents

    .
  • Engage in cross-functional team standups to prioritize tasks, communicate progress, and collaborate to meet deadlines.

Required Skills and Experience

  • 8+ years of professional experience in QA testing,

    with your most recent job in this area specifically.
  • Deep, hands-on expertise in Performance Testing and Engineering methodologies

    (Load, Stress, Soak, and Concurrency testing).
  • Proficiency with performance testing tools

    (e.g., JMeter, LoadRunner, k6, Gatling).
  • Strong expertise in test automation. Proficiency with functional automation tools like Playwright, Selenium, etc., is required.
  • Hands-on experience with major cloud providers (AWS, Azure, GCP) and a solid understanding of cloud architecture and services.
  • Knowledge of Kubernetes and Docker, including

    testing applications deployed in containerized environments for resource usage and scaling efficiency.

  • Proven experience testing systems that interact with a diverse set of data stores (e.g., SQL, NoSQL, Data Lakes).
  • Deep understanding of software testing methodologies, including

    performance, scalability,

    smoke, regression, and functional testing.
  • Experience with CI/CD pipelines and tools (e.g., Jenkins, GitHub Actions, GitLab CI), including

    integrating automated performance checks

    as part of the pipeline gate.
  • Excellent problem-solving skills and the ability to devise creative solutions for complex testing challenges, such as version compatibility and

    diagnosing distributed system latency.

  • Strong communication and collaboration skills, with the ability to influence and partner effectively with development teams.

Education

  • BS CS or equivalent required, MS CS or equivalent strongly preferred

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