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.

We are seeking a highly skilled and motivated Senior Quality Engineer to join our Agentic AI team. In this role, you will be a custodian of quality for our cutting-edge data security product. You will be instrumental in ensuring the reliability, scalability, and security of a platform that handles complex data across diverse cloud and on-premise environments under extreme load.

This is not just a testing role; it's an opportunity to influence the entire development lifecycle. We're looking for a proactive engineer who can identify gaps and advocate for best practices, from unit and integration testing within the development team to comprehensive end-to-end performance validation. The ideal candidate is comfortable diving deep into a complex, distributed architecture, creating robust test strategies, and executing both manual and automated tests to perfection.

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: 

Design and execute comprehensive test plans for new features, covering everything from UI and APIs to backend processes, data integrations, 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. You'll 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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