Job Description
Position Overview
We are seeking an experienced Senior 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 maintainPlaywright-based UI and API automation frameworks
- Implement and governBehave(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 usingSQLacross relational and warehouse databases
- Design test strategies for ETL/ELT pipelines, data migrations, and analytics workloads
- UseDelphixfor data virtualization, masking, and provisioning of non-production test environments
- Build and managesynthetic test datastrategies to support secure, scalable, and repeatable testing
Cloud & AI-Enabled QA
- Deploy and manage test infrastructure onAWS(e.g., EC2, S3, RDS, Lambda, CloudWatch)
- LeverageAItools 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
- 7+ years of QA experience, with 3+ years in a senior QA role
- Strong hands-on experience withPlaywrightfor web/API automation
- Proficiency withBehaveor similar BDD frameworks (Cucumber, SpecFlow)
- SolidSQLskills for data validation, query optimization, and test assertions
- Experience withDelphixor comparable data virtualization/masking platforms
- Demonstrated experience indata synthesis/ synthetic test data generation for complex, privacy-sensitive datasets
- Working knowledge ofAWSservices and cloud-based test environment design
- Experience applyingAIin 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)