AVP Tech, Software Dev Test QE

Overview

Lead the QA strategy, test automation and data validation for web applications, OpenAPI services and data-intensive systems as an AVP Tech at LPL's Global Capability Center in Hyderabad.

What you'll do

• Own the QA strategy, test plans and release quality gates across applications and data pipelines.
• Lead and mentor QA engineers and define best practices for automation, BDD and test data management.
• Partner with Engineering, Product and Data teams to shift quality left and reduce production defects.
• Report on quality metrics, test coverage and release readiness to stakeholders.
• 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.
• 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.
• 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, including model outputs, data drift, edge cases and regression scenarios.

What you'll need

• 10+ years of QA experience, with 3+ years in a lead or 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.

Nice to have

• 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).

Details

• Location: Hyderabad.
• Core competencies: quick decision-making and resolving complex technical problems; managing shift changes and transitioning open and unresolved issues; adapting, learning new technologies and developing new processes; excellent documentation skills.