: QA Engineer

Position Overview

We are seeking an experienced QA Engineer to define, build, and scale our quality assurance strategy across web applications/openAPI, and data-intensive systems. This role combines test automation leadership, data validation expertise, and modern QA practicesincluding AI-assisted testing and cloud-native test environments.

You will establish testing standards, and ensure reliable releases through robust automation, synthetic test data management, and end-to-end quality coverage.

Key Responsibilities

Test Automation

- Design and maintain Playwright-based UI and API automation frameworks
- Implement and govern Behave (BDD) test suites with clear Gherkin scenarios and reusable step definitions
- Integrate automated tests into CI/CD pipelines with reliable, parallel execution

Data & Database Testing

- Validate data integrity, transformations, and reporting using SQL across relational and warehouse databases
- Design test strategies for ETL/ELT pipelines, data migrations, and analytics workloads
- Use Delphix for data virtualization, masking, and provisioning of non-production test environments
- Build and manage synthetic test data strategies to support secure, scalable, and repeatable testing

Cloud & AI-Enabled QA

- Deploy and manage test infrastructure on AWS (e.g., EC2, S3, RDS, Lambda, CloudWatch)
- Leverage AI tools and techniques for test case generation, defect triage, visual regression, or intelligent test prioritization




- Test AI/ML-powered features where applicable (model outputs, data drift, edge cases, and regression scenarios)

Required Qualifications

- 5+ years of QA experience
- Strong hands-on experience with Playwright for web/API automation
- Proficiency with Behave or similar BDD frameworks (Cucumber, SpecFlow)
- Solid SQL skills for data validation, query optimization, and test assertions
- Experience with Delphix or comparable data virtualization/masking platforms
- Demonstrated experience in data synthesis / synthetic test data generation for complex, privacy-sensitive datasets
- Working knowledge of AWS services and cloud-based test setting design
- Experience applying AI in QA workflows (e.g., Copilot-assisted scripting, LLM-based test design, or AI product testing)
- Strong understanding of SDLC, Agile/Scrum, and CI/CD integration (Jenkins, GitHub Actions, GitLab CI, etc.)
- Excellent communication skills and ability to influence across technical and non-technical teams

Preferred Qualifications

- Experience testing data platforms (Snowflake, Redshift, Databricks, or similar)
- Knowledge of API testing tools (Postman, REST Assured, or custom frameworks)
- Familiarity with performance and load testing (k6, JMeter, Locust)
- Experience with test management and reporting tools (TestRail, Zephyr, Allure, or similar)
- ISTQB Advanced or relevant cloud/data certifications
- Python proficiency (common with Behave and many automation stacks)

📌 Eng II, Software Dev Test QE (Hyderabad)
🏢 LPL Financials
📍 Hyderabad