Sr Eng, Software Dev Test QE

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 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

• 7+ years of QA experience, with 3+ years in a senior QA role
• 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 environment 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)