Automation QA Engineer
ClearGrid · Bengaluru, IN ·
- Category
- QA
- Experience
- 3+ years
ClearGrid · Bengaluru, IN ·
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Automation QA Engineer at ClearGrid building and maintaining automated testing frameworks for AI-driven debt resolution platforms. The role focuses on code-first API and UI automation using Python or Java, integrating tests into CI/CD pipelines, and performing load testing, with no manual testing involved.
ClearGrid is revolutionizing the debt resolution industry with cutting-edge AI and advanced analytics. We leverage real-time data, machine learning, and automation to optimize debt recovery for financial institutions. As we scale our technology platform, we are committed to maintaining the highest standards of reliability and performance through programmatic, automated quality engineering.
The Automation QA Engineer will be entirely focused on designing, building, and maintaining robust automated testing frameworks from the ground up. This is a technical, code-first engineering role—manual testing is not a part of this position.
The ideal candidate has the mindset of a developer specializing in quality, possessing a deep passion for catching bugs through code rather than clicks. You will own the automation strategy, driving the transition toward fully automated regression, integration, and performance testing pipelines to ensure our platform scales flawlessly.
Framework Development: Design, build, and maintain scalable, robust automation test frameworks for both APIs and user interfaces.
Test Script Engineering: Write clean, maintainable, and efficient automation code to cover complex end-to-end business workflows.
Infrastructure as Code (QA): Manage and scale test environments, ensuring test data generation is automated and reliable.
CI/CD Integration: Integrate automated test suites seamlessly into our deployment pipelines, enforcing quality gates that prevent buggy code from reaching production.
Performance & Load Testing: Plan and execute automated performance, load, and stress testing to ensure the platform handles high-volume data traffic.
Defect Engineering: Programmatically isolate, replicate, and document complex system bugs, collaborating with developers to accelerate root-cause analysis.
Quality Advocacy: Work embedded within cross-functional engineering teams to promote a "shift-left" testing culture, ensuring testability is considered during early design phases.
Code Reviews: Participate in developer code reviews and conduct strict code reviews for the automation codebase to ensure high engineering standards.
Metrics & Analytics: Maintain and report on quality dashboards, highlighting automated test coverage, pass/fail rates, and regression trends to engineering leadership.
Years of Experience: 3+ years of dedicated experience working strictly as an Automation QA Tester / Quality Engineer.
Focus Area: Proven track record of building automated test suites from scratch, with minimal reliance on manual testing methodologies.
Industry Context: Experience testing highly secure, data-intensive applications (Fintech or SaaS preferred).
Programming Languages: Strong proficiency in Python or Java (Spring Boot ecosystem).
UI Automation: Deep experience with modern UI testing tools such as Selenium, Playwright, or Cypress.
API Automation: Mastery of programmatic API testing using tools like Postman (automated scripts), RestAssured, or Python's Requests library.
DevOps & CI/CD: Hands-on experience integrating test suites with Docker, Jenkins, GitHub Actions, or similar CI/CD pipelines.
Databases: Ability to write complex SQL queries to validate backend data integrity across MySQL or PostgreSQL.
Developer Mindset: You treat test code with the same rigor, design patterns, and cleanliness as production code.
Relentless Automation Bias: An innate urge to automate repetitive tasks—if you have to test it manually more than once, your instinct is to script it.
Exceptional Debugging Skills: A sharp analytical mind capable of identifying flaky tests, isolating race conditions, and diagnosing distributed system failures.
Collaborative Communicator: Ability to articulate technical bugs and quality risks clearly to developers, product managers, and technical leads.