Staff Performance Engineer, Agentic AI

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