Eng II, Software Dev Test QE

LPL Financials; Hyderabad; On-site; INR 1,500,000 - 2,700,000; Full time

Job summary

LPL Financials is seeking an experienced QA Engineer to define, build, and scale quality assurance across web applications, APIs, and data-intensive systems, including AI-assisted testing in cloud-native environments.

You will establish testing standards, lead Playwright-based UI and API automation, SQL data validation, and synthetic data strategies, and integrate tests into CI/CD on AWS. This role requires strong collaboration with engineering and product teams.

Qualifications

• 5+ years of QA experience in web/API environments.
• Hands-on Playwright for UI/API automation.
• Proficiency with Behave or similar BDD frameworks (Cucumber, SpecFlow).
• Strong SQL skills for data validation and assertions.
• Experience with Delphix or data virtualization/masking platforms.
• Experience generating synthetic test data for complex datasets.
• Working knowledge of AWS and cloud-based test environments.
• Experience applying AI techniques in QA workflows.
• Solid understanding of SDLC, Agile/Scrum, and CI/CD (Jenkins, GitHub Actions, GitLab CI).
• Excellent communication and cross-team collaboration.

Responsibilities

• Define, build, and scale QA strategy across web apps, APIs, and data systems.
• Lead test automation, data validation, and synthetic data management.
• Integrate automated tests into CI/CD with parallel execution.
• Validate data integrity across ETL/ELT pipelines and migrations.
• Leverage AI-assisted testing and cloud-native test environments.

Skills

QA leadership

Automation testing

Data validation

AI in QA

CI/CD

Communication

Tools

Playwright

Behave

Delphix

AWS

SQL

Job description

Job Description: QA Engineer

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 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)