Designs and executes UI performance, API, and end-to-end automated tests using Playwright or Selenium, Artillery, JavaScript or Java, SQL, and CI/CD pipelines. Analyzes test results, debugs failures, performs root cause analysis, validates data, and collaborates with development and product teams to improve quality. The role also tests AI-driven features and uses AI coding tools. Preferred experience includes cloud technologies, Datadog, Jenkins, Allure, Docker, and permission testing.
Position Summary:
We're a team of innovators using AI at the core to help legal departments become faster, smarter, and more strategic. As we continue to grow and expand the capabilities of our new AI-centric platform, we're looking for bold thinkers and builders excited to shape the next chapter of legal tech.
If you're energized by meaningful work, love solving complex problems, and want to help modernize how legal teams operate, we'd love to meet you.Key Responsibilities:
- Design, develop, and execute UI performance testing strategies using Playwright or Selenium with Artillery to simulate load, measure response times, and optimize user experience.
- Write maintainable automated tests in JavaScript or Java, leveraging HTML, CSS, SQL queries for data validation, and API testing tools for end-to-end coverage.
- Integrate performance and API tests with CI/CD pipelines, analyze results, debug bottlenecks, and perform root cause analysis for failures.
- Collaborate with developers and product teams to triage issues, refine test data strategies, and drive quality metrics.
- Quickly learn and test complex software solutions, adapting to rapidly evolving AI-driven features.
Skills & Experience:
- 2-3 years of experience as QA Engineer or Automation Tester, with hands-on UI automation using Playwright or Selenium.
- Proficiency in JavaScript or Java for test scripting, plus solid knowledge of HTML, CSS, SQL, and API testing.
- Experience with Artillery for load and performance testing on UI applications.
- Familiarity with automation runs analysis, triaging failures, fixes, and reporting in fast-paced environments.
- Daily usage of AI tools like Cursor, Claude, or other LLM models to accelerate coding, debugging, and test development.
Preferred Skills:
- Complete end-to-end automation experience, including Playwright or Selenium with JavaScript or Java, plus basic cloud technologies like AWS or others.
- Knowledge of monitoring tools like Datadog for performance metrics and observability.
- Background in performance optimization, CI/CD tools like Jenkins, or reporting with Allure.
- Exposure to Docker and role-based permission testing.
Onit Pune, Mahārāshtra, IND Office
Pune, India
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